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XPeng Inc.Santa Clara, CA

$174,720 - $295,680 / year

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. We are seeking a passionate and skilled Senior Computer Vision Engineer to lead the development and deployment of high-performance, large-scale AI models. You will focus on optimizing model inference, implementing compression techniques (quantization, pruning, distillation), and ensuring efficient on-device deployment across GPU and custom AI accelerator platforms. Your work will directly enable the next generation of intelligent systems in autonomous driving and beyond. Key Responsibilities: Optimize large-scale multimodal models for low-latency inference and efficient memory usage across diverse hardware platforms. Apply state-of-the-art model compression techniques, including quantization (e.g., INT8/FP16), pruning, and knowledge distillation. Develop and integrate custom inference kernels targeting GPU or custom AI accelerators. Build profiling tools and performance models to analyze bottlenecks and guide optimization strategies. Contribute to real-world deployment efforts in autonomous driving systems, including on-vehicle testing and iteration. Track the latest research in efficient ML inference and integrate relevant techniques into production pipelines. Minimum Requirements: Master's or Ph.D. in Computer Science, Electrical Engineering, or related field. Open to recent graduates. Strong coding skills in C++ and Python with a focus on performance and scalability. Proficient in deploying deep learning models using TensorRT, ONNX Runtime, or TVM. Familiarity with CUDA programming and parallel computing principles. Solid understanding of model inference workflows and system-level performance tuning. Experience in quantization-aware training or post-training quantization. Effective communicator and collaborative team player. Preferred Qualifications: Hands-on experience with deploying vision-language or large multimodal models. Familiarity with low-precision inference (INT8/FP16), kernel fusion, and operator-level optimization. Experience in autonomous driving, robotics, or edge AI applications. Track record of open-source contributions or publications in ML/AI conferences (e.g., NeurIPS, ICML, CVPR). Background in system profiling, latency modeling, or compiler-level optimization. What do we provide: A fun, supportive and engaging environment Infrastructures and computational resources to support your work. Opportunity to work on cutting edge technologies with the top talents in the field. Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving Competitive compensation package Snacks, lunches, dinners, and fun activities The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Posted 30+ days ago

GE Aerospace logo
GE AerospaceEvendale, OH

$20+ / hour

Job Description Summary Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Job Description Job Summary: Help invent the future of flight, lift people up, and bring them home safely as a GE Aerospace intern or co-op! At GE Aerospace, safety and quality are our top priorities, and you'll be part of a team that upholds these values while working on challenging, real-world problems to design aircraft engines for commercial and military applications & support through service life. You'll build professional and technical skills in an engineering role, with access to mentorship and training programs. Develop relationships with other interns and leaders while preparing for a potential full-time position after graduation, either through one of our fantastic leadership programs or direct hire opportunities. An Aerospace Engineering Engines Computer and Software Engineering intern/co-op may experience work in an area such as the development of engine controls; gas turbine engine sensors; electrical power systems; vehicle health & data management systems; data collection and computing systems; real-time data analytics; embedded controls; engine test systems and integration. Responsibilities may include design, analysis, testing, writing software requirements, software testing, simulation, tool development, and product/program support. Ultimately, you'll be placed taking your preferences into account while also considering your major, year of schooling, and business needs at the time of placement. Qualifications/Requirements: Minimum 3.0 cumulative GPA off a 4.0 scale without rounding. Attending a full time matriculated and nationally accredited baccalaureate or graduate program in computer engineering, computer science, software engineering, or another related major. Willingness and ability to work in the United States; primarily locations are Cincinnati, OH or Lynn, MA. Reliable transportation, many of our sites do not have public transportation available. Graduation date on or after July 2027. Eligibility Requirements: Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Desired Characteristics: Due to the nature of the work, upperclassmen are preferred Engineering aptitude and passion for aviation technology An analytical approach to problem solving Strong knowledge of computer and Microsoft products Proficiency in at least one programming language Willingness and ability to learn from others Demonstrated leadership and team player Excellent interpersonal skills One who strives for academic excellence and shows great initiative Ability to be agile as business needs change and shift frequently Desire to work in a fast-paced ever-changing environment Benefits: Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city. Equal Opportunity Employer: GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. This role requires access to U.S. export-controlled information. Therefore, for applicants who are not asylees, refugees, lawful permanent residents or U.S. Citizens (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), final offers will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

Posted 2 weeks ago

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The MITRE CorporationCharlottesville, VA

$46,500 - $58,000 / year

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an electrical or computer engineering intern, you will join a multidisciplinary team to apply your academic knowledge and gain hands-on experience in one or more of the following areas: Electronic Warfare and Signal Processing: Antennas, electromagnetics, sensors, radar, photonics, and advanced signal processing. Communications and Spectrum Operations: Wireless communications, SIGINT, spectrum management, and position, navigation, and timing (PNT). Embedded Systems and Security: Electronics design, embedded security, and cryptographic systems. Prototyping and Advanced Manufacturing: Rapid hardware prototyping, mechanical design, reliability analysis, and advanced manufacturing techniques. Maritime Systems Development: Acoustic and ocean modeling, SONAR system analysis, and transducer design. Basic Qualifications Must be a full-time student pursuing an accredited degree program in Electrical Engineering, Computer Engineering, or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge in electrical and/or computer engineering including relevant tools, methodologies, and programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience having applied electrical or computer engineering concepts in an internship, research, or laboratory setting. Proficiency in using electrical and/or computer engineering methodologies, frameworks, tools and/or programming languages. Proven ability to work independently. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Posted 2 weeks ago

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First National Bank (FNB Corp.)Hermitage, PA
Primary Office Location: 4140 East State Street. Hermitage, Pennsylvania. 16148. Join our team. Make a difference - for us and for your future. Please note: This fully on-site position is based in Hermitage, PA. Candidates must be local or willing to relocate to the immediate area. This position is not available for hybrid or remote work. FNB will not provide sponsorship for employment-based visas for this position; only candidates who are legally authorized to work in the U.S. will be considered. Position Title: Lead Computer Operator Business Unit: Technology Reports to: Manager of Computer Operations Position Overview: This position is primarily responsible for providing experienced Computer Operator support in a 24/7 processing environment, taking responsibility for shift coverage, providing Tier 2 computer operations support relieving management of these responsibilities. The incumbent has an excellent understanding of PC, mainframe, servers, data communications, file transfer protocols and MS Office products. Primary Responsibilities: Maintains detailed understanding of job processing requirements and data flow of all Bank applications. Provides Tier 2 Support for timely response to issues and questions from Computer Operators escalating these to Technology management when appropriate. Is able to expertly cover all Computer Operators' shifts for time off, vacation, sick time, etc. Works with Business Systems Analysts in coordination of test environments and problem resolution for production and test environments. Consults with Technology management and staff to improve operational effectiveness of the department. Demonstrates interpersonal and communication skills. Participates with Technology and computer operations (all shifts) in planning and implementing cost effective solutions to increase productivity as approved by management. Provides first line of defense for computer operations with skills to consult, troubleshoot and resolve escalated issues. Administers files transfer systems and utilities. Maintains Computer Operations production check lists, logs and procedures. Participates in Technology projects and strategic initiatives. Trains new Computer Operators on all aspects of shift responsibilities and existing Computer Operators on new procedures and processes. Leads team, helps coordinate work and processes, assigns work and provides input for performance management. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: Associates Minimum#### of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 5 Skills Required to Perform the Primary Responsibilities of this Position: Excellent communication skills, both written and verbal Excellent organizational, analytical and interpersonal skills Ability to work and multi-task in a fast paced environment Detail-oriented Excellent customer service skills Good knowledge of Unisys system commands and console messages. Ability to understand and modify Unisys workflows (WFLs). Direct experience with computer operations in a bank or financial processing environment. Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: Appropriate Unisys and Fiserv virtual training modules with manager approval. Physical Requirements or Work Conditions Beyond Traditional Office Work: Frequent kneeling/crawling/stooping Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

Posted 30+ days ago

GE Aerospace logo
GE AerospaceGrand Rapids, MI

$20+ / hour

Job Description Summary Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Job Description Job Summary: Help invent the future of flight, lift people up, and bring them home safely as a GE Aerospace intern or co-op! You'll build professional and technical skills in an aerospace systems & defense role working on challenging, real-world problems to design aerospace systems for commercial and military applications & support through service life. Build relationships with interns/coops and leaders and prepare for a potential full-time position after graduation in one of our fantastic leadership programs or a direct hire opportunity. You will gain broad exposure to the engineering field with an array of opportunities ranging from design & analysis to working hands-on with aerospace systems. Ultimately, you'll be placed taking your preferences into account while also considering your major, year of schooling, and business needs at the time of placement. Essential Responsibilities: An Aerospace Systems & Defense intern/co-op may experience work in the development of engine controls, navigation, & guidance systems; gas turbine engine components; electrical power systems; mechanical systems; vehicle health & data management systems; mission systems; computing systems; and platform systems integration. Responsibilities may include design, analysis, development, and testing, writing software requirements, software testing, simulation, tool development and product/program support. Qualifications/Requirements: Due to the nature of our projects, US Citizenship is required. Minimum 3.0 cumulative GPA off a 4.0 scale without rounding. Attending a full time matriculated and nationally accredited baccalaureate or graduate program in engineering (degrees accepted: Computer Engineering, Electrical Engineering, Electrical & Computer Engineering). Willingness and ability to work in the United States; primary locations are: Grand Rapids, MI; and Clearwater, FL. Reliable transportation, many of our sites do not have public transportation available. Eligibility Requirements: Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Due to the nature of our projects, US Citizenship is required. Desired Characteristics: A solid commitment to a career in technology and a passion for engineering Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with honesty, contributes constructively Focused: quick learner, strategically prioritizes work, committed, and takes initiative Leadership ability: strong communicator, decision-maker, and collaborative teamwork Problem solver: analytical-minded, challenge existing processes, critical thinker Strong knowledge of computer and Microsoft products Proficiency in at least one programming language Benefits: Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city. Equal Opportunity Employer: GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

Posted 30+ days ago

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Simtra BioPharma SolutionsBloomington, IN
For over 65 years, pharmaceutical and biotech companies have partnered with Simtra BioPharma Solutions (Simtra) to bring their sterile injectable products to market. Simtra is a world-class Contract Development Manufacturing Organization with facilities in Indiana, US and Halle/Westfalen, Germany. We offer a wide-range of delivery systems including prefilled-syringes, liquid/lyophilized vials, diluents for reconstitution, powder-filled vials, and sterile crystallization. Our product types include biologics and small molecules, cytotoxics, highly potent compounds, diluents for reconstitution and vaccines - which are all directly injected into patients worldwide. As such, at Simtra, there is a strong emphasis on quality and continuous improvement. We hold ourselves to the highest quality and regulatory standards. While our primary focus is cGMP manufacturing, we offer many support services including formulation and development, lyophilization optimization, global regulatory support, and secondary packaging. In addition to unmatched expertise and experience, we offer a uniquely collaborative approach. Clients look to Simtra as an extension of their own companies. It is very rewarding industry to work in. Our teams are driven to help clients scale, innovate, and bring-life changing medicines to patients worldwide. The Validation Associate II is a key member of the Computer Systems Validation team within the Technical Services organization. The Validation Associate II must have a working knowledge of the overall requirements dictated by worldwide regulatory agencies with respect to computer systems validation. This position works directly with the Information Technology department and other functional areas and is considered the lead validation resource. The Validation Associate II understands industry best practices and maintains a state of audit readiness always. This position reports to the Manager, Computer Systems Validation. What you'll be doing: Validation document author/reviewer- VP, URS, FS/DS, TM, IQ, OQ, PQ using established templates Technical writing proficiency- VP, URS, FS/DS, TM, IQ, OQ, PQ using established templates. Entitlement Reviews- Coordinates user access reviews for recertification and authorization Local Change Control owner CSV periodic reviews - to maintain the validated state, the Associate will perform periodic reviews of validation packages per established procedures Validation lead GAMP Category 1 - 4 Client audits- The Associate will participate in client audits, responding verbally to auditor's questions. Global Change Control task owner System assessments- Quality, Regulatory, Risk, Gap CAPA owner NCR/SNCR investigator Validation Lead for implementation of major and minor software applications or modules for Good Manufacturing Practices (GMP) use Completes detailed risk assessment and 21 CFR part 11 Gap analysis Maintains departmental compliance with regulations and corporate procedures Coordinates computer systems implementation activities with Vendors and other non-BPS resources Creates/Reviews validation documentation, templates, procedures, and all documentation generated during a computer systems validation project Participates in Internal/Client/Corporate Audits Represents validation department as validation expert in cross-functional work teams Advocates and understands best practices for system validations and processes Articulates complex systems and communicates to technical and nontechnical management What you'll bring: BS in Electronic or Software Engineering, Information Systems, or a related field 3+ years experience of working within a regulated environment (worldwide regulatory agencies), particularly in computer systems validation or other validation discipline Ability to use enterprise software (i.e., ERP, EDMS, QMS, JDE, Trackwise, etc.) Experience with Microsoft Project Technical writing skills Physical / Safety Requirements Duties may require overtime work, including nights and weekends Use of hands and fingers to manipulate office equipment is required Position requires sitting for long hours, but may involve walking or standing for periods of time In return, you'll be eligible for[1]: Day One Benefits Medical & Dental Coverage Flexible Spending Accounts Life and AD&D Insurance Supplemental Life Insurance Spouse Life Insurance Child Life Insurance Short and Long-Term Disability Insurance 401(k) Retirement Savings Plan with Company Match Time Off Program Paid Holidays Paid Time Off Paid Parental Leave and more Adoption Reimbursement Program Education Assistance Program Employee Assistance Program Community and Volunteer Service Program Additional Benefits Voluntary Insurance Benefits Vision Coverage Accident Critical Illness Hospital Indemnity Insurance Identity Theft Protection Legal and more Onsite Campus Amenities Workout Facility Cafeteria Credit Union [1] Current benefit offerings are in effect through 12/31/24 Disclaimer This job description is intended to provide the minimum knowledge, skills and abilities necessary to perform the job. It may not be inclusive of all the duties and responsibilities of the job. Simtra reserves the right to make modifications based on business requirements. Equal Employment Opportunity Simtra is proud to be an equal opportunity employer. Simtra evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. EEO is the Law EEO is the law- Poster Supplement Pay Transparency Policy Data Privacy To learn more about Simtra's approach to data privacy, please review the Simtra Recruitment Platform Global Privacy Policy: https://biopharmasolutions.baxter.com/simtra-recruitment-platform-privacy-policy

Posted 30+ days ago

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PanoSan Francisco, CA
Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT Who we are The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires-with longer fire seasons, dryer fuels, and faster winds-new ignitions spread faster and put more communities at risk. Today, most wildfires are detected by bystanders and reported via 911, meaning it can take hours to detect a fire, verify its exact location and size, and dispatch first responders. Fire authorities need a faster way to detect, confirm, and pinpoint fires so that they can quickly respond-preventing small flare-ups from becoming devastating infernos. About Pano: We are a 100+ person growth-stage hybrid-remote start-up, headquartered in San Francisco. We are the leader in early wildfire detection and intelligence, helping fire professionals respond to fires faster and more safely-with the right equipment, timely information, and enhanced coordination-so that they can stop a new ignition before it grows. Pano AI combines advanced hardware, software, and artificial intelligence into an easy-to-use, web-based platform. Leveraging a network of ultra-high-definition, 360-degree cameras atop high vantage points, as well as satellite and other data feeds, Pano AI produces a real-time picture of threats in a geographic region and delivers immediate, actionable intelligence. Pano AI is on TIME's list of the 100 Most Influential Companies of 2025! MIT Technology Review listed Pano as one of the top 15 climate tech companies to watch in 2024, and Fast Company named Pano AI one of the Top 10 most innovative companies in AI of 2023. We've also been featured in the Wall Street Journal, Bloomberg, and CNBC News. Pano AI's dozens of government and enterprise customers span 16 states in the U.S., five states in Australia, and BC, Canada, and we are currently monitoring over 30 million acres of land. Pano AI has raised $89M in venture capital funding from Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures. Learn more at https://www.pano.ai/ . The Role The Senior Computer Vision Engineer will be a part of the AI team that develops and deploys algorithms to detect, localize, and monitor wildfires from mountaintop cameras and satellite images. The Senior Computer Vision Engineer will develop and maintain systems related to camera capture, localization, visualization, geometric understanding, and computer vision. You'll work with platform engineers to develop novel software solutions to enable real-world handling of a key environmental challenge. As a self-motivated and enthusiastic member of our team, you will work in an agile environment and balance developing critical new features with improving the core technical underpinnings of our system. What you'll do Develop systems that work at the intersection of terrestrial camera and geospatial data and at the intersection of 2D and 3D perception Own the software algorithms that estimate locations, stitch panoramas, and contextually visualize real world information Systematically drive improvements in location/distance estimates and fire detection by improving models, refining techniques and introducing new data sources Optimize our camera capture systems to get the best images for fire detection and understanding Analyze the results and compare between different algorithms to select the most appropriate mechanism In conjunction with our AI platform team, implement algorithms so that they can be deployed to our production systems and drive significant improvements in our business metrics What you'll bring 7+ years of industry experience plus a MS in Computer Science - OR - 5+ years of industry experience plus a PhD in Computer Science 3+ years of industry experience in geometry and imaging aspects of computer vision 3+ years of experience programming in Python Strong problem solving skills Preferred skills Experience working with geospatial data / GIS systems / remote sensing Experience in deep learning aspects of computer vision Experience working with cloud systems Excellent communication skills Pano is an equal opportunity employer committed to recruiting and supporting our team-members regardless of where they come from. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Final compensation for full-time employees is determined by a variety of factors, including job-related qualifications, education, experience, skills, knowledge, and geographic location. In addition to base salary, full-time roles are eligible for stock options. Our benefits package also includes comprehensive medical, dental, and vision coverage, a matching 401(k) plan, and unlimited paid time off.

Posted 30+ days ago

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Metropolitan Transportation AuthorityNew York, NY

$112,067 - $135,251 / year

Position at New York City Transit Job Information Title: Computer Specialist Series First Date of Posting: 11/06/2025 Last Date of Filing: Open Until Filled Authority: TA Department: Subways Division/Unit: MOW / Engineering Reports to: Assistant Chief Officer Work Location: 2 Broadway Hours of Work: 8 am - 4 pm TA Applicants must be in a permanent civil service status in the title(s) of Job Title or be on an established list for said title(s). If you are on an established list, your list number must be reachable to be considered for appointment. Compensation: Computer Specialist I: $112,067 Computer Specialist II: $116,750 Computer Specialist III: $126,082 Computer Specialist IV: $135,251 TA titles are represented by DC 37 Responsibilities This position supports Capital Construction & Development (C&D) in coordinating and resolving project issues involving communication systems. Working with wide latitude for initiative and professional judgment, the incumbent will plan, design, configure, and integrate applications supporting NYCT's communication infrastructure. Duties include reviewing and enhancing communication-based networks, ensuring system security, and maintaining internal controls to safeguard agency assets and data. The incumbent will participate in internal and external project meetings, conduct field surveys, support system integration and acceptance testing, and develop technical documentation and performance monitoring criteria. The position also serves as a liaison among vendors, maintenance divisions, and user departments to ensure coordinated implementation and long-term operability of communication systems. Coordinate design reviews, integration testing (SIT/SAT), and production cutovers with stakeholders, vendors, and maintenance divisions; document as-built conditions. Review communication room and cabinet installations; confirm compliance with design and COE standards. Support backbone transport systems (SONET/ATM) and fiber plant updates, including labeling, splicing maps, and acceptance checks. Provide technical guidance and mentoring; prepare concise technical documentation and executive-ready reports. Design and implement software and data solutions supporting NYCT communications (event processing, telemetry, dashboards, NMS/SCADA interfaces). Support field-deployed communication platforms (PA, ET, EEBCS, Help Points, IACS, CAMS, PSLAN) and related head-end systems. Develop automations (APIs, scripts, ETL) for configuration management and system monitoring; maintain secure baselines and release artifacts. Administer databases and applications; implement cybersecurity controls, monitoring, and incident response. Education and Experience Computer Specialist I-IV (Software) 1.A baccalaureate degree from an accredited college, including or supplemented by 24 semester credits in computer science or a related computer field and two years of satisfactory full-time computer software experience in computer systems development and analysis, applications programming, database administration, maintenance and support, systems programming, data communications, mainframe development, mobile development, web development and design, including one year in a project leader capacity or as a major contributor on a complex project; or A four-year high school diploma or its educational equivalent and six years of satisfactory full-time computer software experience as described in "1" above, including one year in a project leader capacity or as a major contributor on a complex project; or Education and/or experience equivalent to "1" or "2" above. College education may be substituted for up to two years of the required experience in "2" above on the basis that 60 semester credits from an accredited college is equated to one year of experience. A master's degree in computer science or a related computer field, or a certificate of at least 625 hours in computer programming from an accredited technical school (post high school), may be substituted for one year of the required experience in "1" or "2" above. However, all candidates must have at least a four-year high school diploma or its educational equivalent and at least one year of satisfactory full-time experience in a project leader capacity or as a major contributor on a complex project. Computer Specialist I-IV (Operations) A certificate from an accredited technical school (approximately 675 hours) with a specialization in computer operations plus a four-year high school diploma or its educational equivalent, and three years of satisfactory, full-time computer operations experience in a large-scale mainframe or multi-tiered computer environment, or three years of satisfactory data communications network experience in a mainframe or multi-tiered computer environment, one year of which must have been in a project leader capacity or as a major contributor on a complex project; or A four-year high school diploma or its educational equivalent and five years of satisfactory full-time computer operations or data communications network experience as described in '1' above, one year of which must have been in a project leader capacity or as a major contributor on a complex project; or A baccalaureate degree from an accredited college and four years of satisfactory full-time computer operations or data communications network experience as described in '1' above, one year of which must have been in a project leader capacity or as a major contributor on a complex project; or Education and/or experience equivalent to "1", "2", or "3" above. However, all candidates must have at least a four-year high school diploma or its educational equivalent and three years of satisfactory full-time computer operations or data communications network experience as described in "1" above, one year of which must have been in a project leader capacity or as a major contributor on a complex project. Special Note To be eligible for placement in Assignment Level IV, in addition to the Qualification Requirements stated above, individuals must have one additional year of satisfactory experience in a project leader capacity or as a major contributor on a complex project. Desired Skills Demonstrated experience with communication and network system design, testing, and integration in operational or transportation environments. Proficiency in network and server architectures, including Voice/IP, VLANs, routing, firewalls, VPNs, and secure remote access. Experience supporting enterprise communication platforms such as PA, ET, EEBCS, IACS, Help Points, CAMS, or comparable systems. Working knowledge of software development and automation (e.g., Python, PowerShell, SQL, APIs, ETL pipelines, or related tools). Familiarity with SCADA/NMS/Fire Alarm platforms, performance monitoring, and fault management. Understanding of cybersecurity principles, access control, encryption, and incident response. Ability to interpret and review engineering drawings, as-builts, and network documentation. Skilled in preparing concise technical reports, presentations, and executive-level summaries. Effective interpersonal and communication skills for collaboration with vendors, maintenance divisions, and user departments. Selection Method Based on evaluation of education, skills, experience and interview. Other Information As an employee of MTA-NYC Transit, you may be required to complete an annual financial disclosure statement with the State of New York, if your position earns more than $105,472 (this figure is subject to change) per year or if the position is designated as a policy maker. Equal Employment Opportunity MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

Posted 30+ days ago

Metropolitan State University of Denver logo
Metropolitan State University of DenverDenver, CO
Department Department of Engineering and Engineering Technology By applying to this posting, you are entering an applicant pool for affiliate faculty. Screening of applicants will take place when positions come available. The number of these temporary, part-time, non-tenure track academic positions varies from semester to semester, depending on the needs of the program. As such, not everyone in the applicant pool for this position will be contacted and/or selected to teach. About the University Established in 1965, Metropolitan State University (MSU Denver) was founded to serve students who were underrepresented in higher education whose life paths and experiences did not fit the traditional mold. Sixty years later, the University continues to serve over 16,000 of Colorado's extraordinary and diverse students, providing them with the foundation on which to build their unique aspirations. As the third largest public institution of higher education in Colorado, MSU Denver is a model university for today's college students. Proud of its federal designation as a Hispanic-Serving Institution that also offers graduate programs (gHSI) and the only Seal of Excelencia certified institution in Colorado, the University serves the most diverse undergraduate student population in the state, as well as the most first-generation students. Through affordable, flexible, and holistic education, MSU Denver helps students build essential skills grounded in a multicultural and global perspective that lead to undergraduate and graduate degrees, and career and life success. About the Department of Engineering and Engineering Technology Explore, Innovate, Lead-Engineering Your Future at MSU Denver The Department of Engineering and Engineering Technology at MSU Denver offers a dynamic range of undergraduate degrees designed to ignite your curiosity and empower your career. Whether you're passionate about sustainability, technology, infrastructure, or leadership, our programs prepare you to tackle real-world challenges with confidence and creativity. Environmental Engineering students address critical challenges like water purification, and waste management developing innovative solutions to protect and restore the environment Mechanical Engineering majors design and optimize systems such as robotics, and advanced manufacturing processes, pushing the boundaries of efficiency and innovation Civil Engineering Technology students shape the future of our communities through the planning, design, and construction of vital infrastructure Computer Engineering majors blend hardware and software expertise to develop cutting-edge technologies like embedded systems for smart devices, artificial intelligence platforms, and secure network architectures Electrical Engineering students create and enhance systems powering electric vehicles, renewable energy grids, and advanced communication networks that drive our connected world Construction Project Management students learn to lead complex building projects from concept to completion, blending engineering principles with business and leadership skills Our dedicated faculty challenge and support students every step of the way, ensuring they're equipped for a dynamic career. Equipped with strong math, science, analysis, and problem-solving skills, a degree from MSU Denver's Department of Engineering and Engineering Technology isn't just a credential-it's a platform for making a meaningful impact in the world. Position Summary The Department of Engineering and Engineering Technology at Metropolitan State University of Denver (MSU Denver) invites applications for part-time affiliate faculty teaching positions. For more information about the Department of Engineering and Engineering Technology in our College of Aerospace, Computing, Engineering, and Design, please visit: https://www.msudenver.edu/engineering-engineering-technology . Responsibilities Teach in person, part-time in Computer and Electrical Engineering. An affiliate faculty member's duties may include but are not limited to: teaching assigned classes in person or online by delivering course content to students, preparing course materials and lesson plans, grading student work, providing students with robust feedback in a timely manner, addressing student questions consistent with university, college/school, and department policies, and providing online or in person academic support to students as needed and appropriate for the teaching assignment; providing instruction in assigned classes consistent with the content and learning objectives of the regular course syllabus and, if required, with department course coordination policies; and complying with university-wide student evaluation of instruction policies and peer observation policies. The ability to adapt and learn new modes of instruction is highly encouraged. Candidates need to be sensitive to the educational needs of a diverse student population. Required Qualifications Bachelor's degree in Computer or Electrical Engineering or Engineering related field, plus four years of relevant experience Preferred Qualifications Master's degree in Computer or Electrical Engineering or Engineering related field, plus four years of relevant experience or Doctorate Terms of Employment Affiliate faculty are part-time, at-will employees hired to teach on a per credit hour basis for specific classes, usually on a semester-by-semester basis. Affiliate faculty are not eligible for benefit coverage under the University's benefit program. All such teaching assignments are dependent on budget and enrollment. Qualified candidates will be expected to teach in person/on campus upon hire. Salary for Announcement The final salary is based on the number of credit hours assigned at a rate determined by university policy. For more information, please view pay rates under College of Aerospace, Computing, Engineering, and Design (CACED): Affiliate-Rates-AY-25-26 How to Apply Candidates must apply online through MSU Denver's career site, https://www.msudenver.edu/careers . Complete applications will include the following materials: Curriculum vitae Cover letter Copies of all unofficial transcripts A list of three professional references and their contact information Applicants will notice on the application portal there is one location (the resume/cover letter submission field) to upload all required materials. Multiple documents can be submitted into this one field; alternatively, merge all documents into one PDF and upload. Once submitted, you will not be able to edit your application. Official transcripts will be required of the candidate selected for hire. Closing Date Open Until Filled Posting Representative Tanya Rogowsky Posting Representative Email trogowsk@msudenver.edu Benefits The University's benefits package is comprehensive and offers medical, vision and dental, free RTD pass, tuition reimbursement, as well as a life and supplemental insurance plans, retirement plans and other programs, such as access to a long-term disability (LTD) plan. Visit MSU Denver's benefits website to learn more. For a brief overview, please see: https://www.msudenver.edu/wp-content/uploads/2024/01/MSU-Benefit-Summary.pdf . The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at totalrewards@msudenver.edu. Background Checks Metropolitan State University of Denver is dedicated to ensuring a safe and secure environment for our faculty, staff, students, and visitors. To Assist in achieving that goal, we conduct background checks on all finalists for positions at the University prior to employment. Diversity Statement Metropolitan State University of Denver is a unique, access-oriented campus community that values diversity, equity, and inclusion in all its forms. Our student population consists of nearly 58% first generation students and over 50% students of color. We are a designated Hispanic Serving Institution located in downtown Denver. We create an equitable learning and working environment in concert with individuals who consistently demonstrate commitment to equity and inclusion. We greatly value the diverse identities and perspectives of our students, faculty, and staff and recognize that in order to achieve a just and equitable society, diversity must go beyond simple representation. It requires critical inquiry and dialogue and a commitment to action. We strive to provide a culture of belonging for all community members to achieve personal and professional success.

Posted 30+ days ago

ActioNet, Inc. logo
ActioNet, Inc.Huntsville, AL
Description DecisiveInstincts LLC is a JV (joint venture) between ActioNet and Akamai Technologies. We are looking for an experienced Computer Scientist/Project Manager (PM) to oversee the execution of a major IT services contract supporting the FBI. The focus is on enhancing the FBI's enterprise systems by maintaining secure cloud environments such as AWS and Azure, while enabling advanced data capabilities through scalable ETL pipelines and the migration of custom-developed tools into enterprise platforms. In parallel, the team engages in forward-leaning research on emerging technologies including artificial intelligence, machine learning, IoT, and mobile messaging applications to inform next-generation solutions. As part of its operational mission, the project provides direct case support and real-time data analysis for high-profile events managed by the 24/7 operations center. Location: On Site - Huntsville, AL Clearance: Top Secret (TS)/SCI - CI Polygraph Estimated Start Date: October 2025 Responsibilities: Possesses and applies comprehensive knowledge across key tasks and high impact assignments. Plans and leads major technology assignments. Evaluates performance results and recommends major changes affecting short-term project growth and success. Functions as a technical expert across multiple project assignments. Collaborates with CT investigators, analysts, and professional staff, often directly engaging non-technical personnel to understand functional needs /issues/gaps, recommend solutions, and develop technically feasible tools in a timely manner. Builds and/or supports preparation of basic technical, business, and end user documentation. As a strong, individual contributor: identifies and recommends remedies, and/or implements solutions which enhance existing software and systems capabilities, performance, and security and/or introduce efficiencies or automation into stakeholder workflows. Performs programming (e.g. Python), code refactoring, systems operations, and/or design. Evaluates COTS, GOTS, OSS, and other software and systems to implement algorithmically complex data and technology solutions. Contributes to the technical work program of one or more projects. As the On-Site Lead provides thought leadership and technical and analytical expertise to the Government and vendor project team. Ensures vendor project team adherence to quality standards. Manages the integration of vendor tasks, track project progress, and conduct project analysis resulting in appropriate metrics when requested. Required Qualifications: Minimum Eight (8) years of relevant experience with a BS in Data Science, Mathematics, Information Science, Statistics, Engineering, Business Analytics, or related degree; OR Four (4) years of relevant experience with an MS degree in Data Science, Engineering, Mathematics, or related degree Demonstrate a high level of proficiency in the following: scoping, planning, and completing full lifecycle engineering projects; and managing development and implementation of projects assigned to contractor staff. Demonstrate expert knowledge in one (1) or more of the following areas: User interface/User experience (UI/UX) ,Front-end engineering, API development, and/or Data engineering. Four (4) years of relevant P/PM experience Preferred Experience: Past experience: Managing, communicating and contributing to enterprise architecture efforts, engineering trade-off analysis and feasibility studies, proof-of-concept prototypes to explore technical implementation options and issues, engineering reviews, technical design and implementation bringing commercial best practices to bear. Demonstrate a high level of proficiency as a Program/Project Manager (P/PM) with Federal Acquisition Certification (FAC)-P/PM and/or Project Management Professional (PMP) Certification. ActioNet is a CMMI-DEV Level 4, CMMI-SVC Level 4, ISO 20000, ISO 27001, ISO 9001, HDI-certified, woman-owned IT Solutions Provider with strong qualifications and expertise in Agile Software Engineering, Cloud Solutions, Cyber Security, and IT Managed Services. With 25+ years of stellar past performance, ActioNet is the premier Trusted Innogrator! Core Capabilities: Advanced and Managed IT Services Agile Software Development DevSecOps Cybersecurity Health IT C4ISR & SIGINT Data Center Engineering & Operations Engineering & Installation Why ActioNet? ActioNet is honored to be recognized as a Top Workplace for the twelfth consecutive year (2014-2025), a testament to our unwavering commitment to excellence and innovation. With an impressive 98% customer retention rate, we are driven by the inspiring missions of those we serve. Our dedicated teams are empowered to deliver exceptional results that safeguard the nation's security, enhance public health, and promote overall well-being-because at ActioNet, mission success is personal. At ActioNet, our Passion for Quality is at the heart of everything we do: Commitment to Employees: We are committed to making ActioNet a great place to work and continue to invest in our ActioNeters. Commitment to Customers: We are committed to our customers by driving and sustaining Service Delivery Excellence. Commitment to Community: We are committed to giving back to our community, helping others, and making the world a better place for our next generation. What's in It For You? As an ActioNeter, you get to be part of an exceptional team and a corporate culture that nurtures mutual success for our customers, employees, and communities. We give you the tools to be successful; all you need to do is bring your best ideas, your energy, and a desire to develop your skills, experience, and career. Are you ready to make a difference? ActioNet is an equal-opportunity employer and values diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Full-Time Employees are eligible to participate in our ActioNet's Benefits Program: Medical Insurance Vision Insurance Dental Insurance Life and AD&D Insurance 401(k) Savings Plan Education and Professional Training Flexible Spending Accounts (FSA) Employee Referral and Merit Recognition Programs Employee Assistance and Identity Theft Protection Paid Holidays: 11 per year Paid Time Off (PTO) Disability Insurance

Posted 30+ days ago

Ivy Tech Community College logo
Ivy Tech Community CollegeIndianapolis, IN

$49+ / hour

Job Title: Adjunct Faculty - Computer Information Technology Location: Indianapolis Job Type: Part-time Classification: Adjunct faculty Salary Range: $48.67 Per Contact Hour Reports To: Department/Program Chair All Applications must include a Cover Letter and an Unofficial Transcript Who We Are: We are an open-access college that fuels Indiana's economy through excellence in teaching and proactive engagement with industry and community partners, embedded in a culture of innovation that empowers all students to learn and succeed. We are "higher education at the speed of life!" Our Values: Empathy: We stand with our students, partners, and communities. Integrity: We treat all with dignity and respect. Accountability: We deliver on our commitments. Agility: We innovate, iterate, and transform. Connectivity: We connect with partners to strengthen communities and ensure student success for all. About the Role: Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals; and for providing effective instruction and assessment within the framework of common syllabi provided. MAJOR RESPONSIBILITIES: Facilitate student learning by delivering assigned classes in accordance with College policy and course objectives. Make optimal use of available technology to enhance instructional methods. Supplement and alter, where appropriate, lesson plans, assignments, tests, and materials. Maintain accurate student records, grades, and other requirements. Engage with students proactively and regularly in meaningful and productive ways that impact student learning and lead to a positive experience with Ivy Tech Community College. Demonstrate evidence of developing and implementing teaching strategies focused on engaging online students with their learning. Interact with students and co-workers in a professional and cooperative manner, complying with College policies, guidelines, and expectations. Maintain a safe, quality online educational environment. Must demonstrate the ability to promote an environment that reflects the broad backgrounds represented by our students and employees in which every individual feels respected and valued. This is not to be construed as an exhaustive list. Other duties logically associated with this position may be assigned. All responsibilities will be conducted within the parameters of the Family Educational Rights and Privacy Act (FERPA), other applicable regulatory requirements, and professional standards. EDUCATION AND EXPERIENCE: A qualified faculty member in computer information systems is one who: Possesses an earned master's degree or higher from a regionally accredited institution in computer information systems, management information systems, information technology, computer science or a computer-related degree as appropriate to the course and/or specialty being taught; OR Possesses a related or out-of-field master's degree, from a regionally accredited institution, with documented 18 semester hours or equivalent of courses in a computer, business, mathematics, or engineering-related field as appropriate to the course and/or specialty being taught beyond the introductory principle(s) level; OR Possesses a bachelor's degree in mathematics, engineering, or business/computer related field from a regionally accredited institution as appropriate to the course and/or specialty being taught with documentation in two or more areas of: Professional certification (national, regional, or state) in the field Two years of in-field professional employment Documented evidence of teaching excellence, including date of award Documentation of research and publication in the field Documented relevant additional coursework beyond the bachelor's degree, equivalent to 18 semester hours or equivalent subject matter coursework, CEU's, vendor, or military. Preferred Qualifications: Two years of in-field professional experience with Amazon AWS or Microsoft Azure Working knowledge of Linux operating system. Current CompTIA A+, Net+, or Sec+ certification Extensive knowledge of virtualization Must demonstrate ability to promote an environment that reflects the broad backgrounds represented by our students and employees and which every individual feels respected and valued. All Applications must include a Cover Letter and an Unofficial Transcript Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College's Title IX Coordinator or to the US Department of Education Office of Civil Rights.

Posted 30+ days ago

ECPI University logo
ECPI UniversityVirginia Beach, VA
This position will work at ECPI University's Virginia Beach, VA campus location. Transform your Career at ECPI University Since 1966, the dedicated employees at ECPI University have helped students achieve their goals via practical training and career-focused education with over 50 Associates, Bachelor's and Master's Programs. Our culture is to prioritize our students' success through the support of our dynamic team and industry focused curriculum. Visit www.ecpi.edu/employment to learn more about how you can help people improve their lives through education. We are seeking Computer Aided Drafting and Design (CADD) professionals to join our faculty team. As a faculty member, you'll provide practical hands-on instruction in an engaging learning environment, incorporating innovative teaching methodologies in order to enhance the learning experience of our students and achieve learning outcomes. This would be an ideal position for a CAD professional who would like to share their wisdom and experience to the next CAD professionals. Our terms are five weeks long, and class sizes are small which give our faculty the perfect environment in which to share their specific industry experience. If you are highly motivated and passionate about teaching, ECPI University may be the place for you. Education/Experience: Master's degree with 18 graduate semester hours in Mechanical Engineering or a related field from a regionally accredited educational institution. Teaching and/or industrial experience in mechanical engineering and/or manufacturing Proficiency in AutoCAD and Autodesk 3D parametric software is required. Experience in architectural, civil, mechanical, structural drafting or CADD is required. Proficiency with Machine Tool Technology, CNC G-Code programming, and CAD/CAM software Appropriate technical certification or licensure (if required.) Five years of industry experience preferred. Comfortable with technology and its integration in the classroom. Skills/Abilities: Excellent oral and written communication Ability to work with a variety of learning styles and skill levels Strong time management skills and detail-orientation Working knowledge of computer applications and the ability to quickly learn new computer software Experience with distance learning or learning management systems (LMS) preferred Benefits of Employment ECPI University provides a comprehensive benefits program designed to help our faculty and staff stay healthy, feel supported, and maintain a work/life balance. To learn more about benefits at ECPI University, click HERE. Committed to excellence and innovation, ECPI University is proud to be an equal opportunity employer.

Posted 30+ days ago

Lockheed Martin Corporation logo
Lockheed Martin CorporationLittleton, CO

$101,000 - $178,135 / year

Description:About Lockheed Martin Space: Space is a critical domain, connecting our technologies, our security, and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more - we can innovate, invest, inspire, and integrate our capabilities to transform the future. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We're creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security vision. We're erasing boundaries and forming partnerships across industries and around the world. We're advancing spacecraft and the workforce to fuel the next generation. And we're reimagining how space can connect us, ensuring security and prosperity. Join us in shaping a new era in space and find a career that's built for you. About the Team: You'll collaborate with some of the brightest minds in engineering to design and integrate pioneering capabilities that shape the future of our mission. Our high‑impact, cross‑functional team delivers cutting‑edge perception solutions for a variety of mission‑critical platforms. We specialize in classical computer‑vision algorithms-feature detection, stereo matching, optical flow-while also integrating modern AI techniques such as semantic segmentation and learned feature representations. Every solution is engineered with the strict hardware constraints of resource‑limited processors in mind, including the ultra‑low‑power, radiation‑hardened CPUs typical of space‑borne systems. About the Role: We are seeking a Senior Computer Vision Software Engineer who can proactively drive architectural evolution and deliver high‑performance perception code for edge‑deployed platforms. The ideal candidate will: Apply solid software design principles (modularity, testability) to enhance and extend our existing C++/Python codebase Collaborate closely with hardware engineers, optics specialists, system architects, and other stakeholders to transform algorithmic concepts into high‑performance, deployable solutions Write production‑grade C++ code for core functionality, complemented by Python scripts for testing, simulation, and rapid prototyping. Deeply understand the target hardware architecture and its processing constraints to fine‑tune algorithms, maximizing runtime efficiency and extracting every ounce of performance from the processor Contribute to and leverage our Continuous Integration/Continuous Deployment pipelines using tools such as GitLab CI, Google Test, and Docker for automated builds, containerized testing, and seamless delivery. Successful applicants generally have a minimum of 3+ years of related experience and may have a post-secondary degree or training in a related discipline. Basic Qualifications: Skill Requirements: Strong command of C++ (C++14/17/20) and Python; Test‑driven mindset - experience writing unit, integration, and performance tests; familiarity with frameworks such as Google Test Understanding of software design patterns and architectural principles (e.g., SOLID, factory, strategy, visitor, dependency injection) Understanding of core algorithms and data structures (graphs, trees, heaps, dynamic programming, greedy techniques, etc.) Proficiency with modern development tooling - Linux/Unix environments, build systems (CMake), debugging/profiling tools (gdb, valgrind). Collaborative communication skills - comfortable discussing technical trade‑offs with peers, documenting design decisions Security Clearance / Work Authorization: To meet requirements of the program/customer, this position requires the selected employee to be a U.S. Citizen. Although not required to start, the selected applicant must be eligible to obtain, and maintain, Top Secret with adjudicated SCI Eligibility (i.e. TS/SCI) for long term employment on this program Desired Skills: Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related technical field (or equivalent professional experience) with 3+ years of software development experience Familiarity with functional programming languages like Rust Experience with containerization (Docker, Kubernetes) Experience with MATLAB Demonstrated experience designing, implementing, or applying computer‑vision algorithms and/or artificial‑intelligence / machine‑learning techniques Prior work on real‑time or embedded systems Knowledge of GPU/parallel programming (CUDA, OpenCL, OpenMP) Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: TS/SCI Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $101,000 - $178,135. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: SPACE Relocation Available: Possible Career Area: Guidance, Navigation and Control Type: Full-Time Shift: First

Posted 30+ days ago

Lockheed Martin Corporation logo
Lockheed Martin CorporationFort Worth, TX
Description: Are you ready to join a team that's pushing the boundaries of Artificial Intelligence and making a real impact in the industry? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly skilled and motivated individual to support the Applied AI team and specifically the Cognitive Modules portfolio. As a key member of our team, you'll have the opportunity to work on a wide range of projects, from prototypes to deployment, and contribute to the development of innovative solutions that provide discriminating capability to our customers. What you'll be doing: Developing software products that implement Artificial Intelligence to provide cutting-edge solutions to our customers Engaging in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test Participating in activities such as proof of concepts, development of prototypes, building demonstrators, and transition to production Leveraging current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database) Developing code to solve complex problems and field innovative solutions What's In It For You: We offer flexible work schedules and comprehensive benefits, investing in your future and security. Learn more about Lockheed Martin's comprehensive benefits package here. At Lockheed Martin, we empower employees to think big, lead with a growth mindset, and make the impossible a reality. We provide the resources and flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you. Who are you: You are a highly motivated and experienced individual with a strong background in software engineering and computer science You have a strong work ethic, self-motivation, time management, and interpersonal skills You are familiar with current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database) You have experience developing code to solve complex problems and field innovative solutions You are a team player with excellent communication skills and the ability to work effectively in a collaborative environment This role requests an active Secret Clearance to start. #LMLAIC Basic Qualifications: Experience with computer vision machine learning models and techniques Experience with a deep learning library, such as PyTorch, Torch, Keras, Tensorflow, Scikit-learn (sklearn), or opencv Experience with python Desired Skills: Master's Degree in Engineering, Computer Science, or other related discipline. Experience with DevOps tools (Docker/Podman, Git, or GitLab CI/CD) Experience with at least one of the following messaging protocols; Kafka or ActiveMQ or ZeroMQ or DDS Experience with at least one of the following communication protocols; REST or gRPC Experience with Test-Driven Development from both unit- and system/acceptance-level perspectives Experience with software orchestration (e.g. Kubernetes, Helm, Istio/Linkerd) and modern GitOps workflows Experience developing microservices and microservice architectures Experience building and deploying software for defense mission systems Experience with real-time embedded software engineering Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL) Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime) Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices) Experience with high-performance computing Experience interfacing with databases (SQL, MongoDB, etc.) Experience leading other engineers or small teams Familiarity with transitioning prototype software to production Top Secret // SCI Clearance Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: Possible Career Area: Artificial Intelligence Type: Full-Time Shift: First

Posted 30+ days ago

M logo
Metropolitan Transportation AuthorityNew York, NY

$109,076 - $158,514 / year

Position at MTA Headquarters JOB TITLE: Computer Specialist (Software) Level 1-4 (TWU Represented) DEPT/DIV: MTA IT SUPERVISOR: Product Manager LOCATION: 420 Lexington Ave, New York, NY 10170 HOURS OF WORK: 9:00 am - 5:30 pm (7.5 hours/day) or as required) This position is eligible for telework, which is currently two days per week. New hires are eligible to apply 30 days after their effective date of hire. Salary range: Computer Spec. (SW) 1 TWU: $109,076 - $118,218 Computer Spec. (SW) 2 TWU: $113,637 - $127,300 Computer Spec. (SW) 3 TWU: $122,715 - $138,441 Computer Spec. (SW) 4 TWU: $131,642 - $158,514 SELECTED CANDIDATE WILL BE APPOINTED TO MaBSTOA PAYROLL The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation's largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities. Contribute software development methods, tools, and techniques, and apply agreed standards and tools to achieve well-engineered outcomes. Critical Skills: Strong experience in cloud architecture, .NET, and API Working experience in DevOps, GitHub, Oracle/Postgres Responsibilities: This class of positions encompasses highly technical or supervisory responsibilities for the design, implementation, enhancement, maintenance, and analysis of software systems performed at varying levels of difficulty and with varying degrees of latitude for independent initiative and judgment. There are four Assignment Levels within this class of positions, differing according to the complexity and sophistication of the hardware and software systems and the amount of supervision required. The following are typical assignments within this class of positions. All personnel perform related work and, when necessary, perform the duties of lower titles and Assignment Levels. Assignment Level I Under supervision, with considerable latitude for independent action or the exercise of independent judgment, is responsible for the design, implementation, enhancement, and maintenance of either Database Management Systems, Operating Systems, or Data Communications Systems, Applications, and/or related software functions. May supervise a unit engaged in work related to the above areas or may independently perform related work of a highly complex, technical nature. In the temporary absence of the supervisor, may perform the duties of that position. Assignment Level II Under general supervision, with wide latitude for the exercise of independent initiative and judgment, may supervise a unit engaged in systems development work of great difficulty, is responsible for the design, implementation, enhancement, and maintenance of either the Database Management Systems, Operating Systems, Data Communications Systems, Applications, and/or related software functions. In a multi-programming computer system, it serves as the person performing complex staff work and the full range of computer systems analysis functions, utilizing general software and software systems analysis in highly complex systems development projects, or supervises the activities of a number of applications programming units engaged in work of more than ordinary difficulty, complexity, and responsibility in a multi-programming electronic computer installation. In the temporary absence of the supervisor, may perform the duties of that position. Assignment Level III Under general supervision, with broad scope for the exercise of independent initiative and judgment, is responsible for the design, implementation, enhancement, and maintenance of either Database Management Systems, Operating Systems, or Data Communications Systems, Applications, and/or related software functions. Supervises the units responsible for systems development and applications programming, instructing, directing and checking the work of subordinates, or is routinely responsible for the coordination and direction of the data processing project, organized to plan and implement complex integrated software development projects in a multi-programming computer environment system operating in an online mode in a communications environment. In the temporary absence of the supervisor, may perform the duties of that position. Assignment Level IV (See Special Note Under Qualification Requirements) Under minimum direction, with the broadest scope for the exercise of independent initiative and judgment, holds senior-level technical responsibility for extremely complex and ongoing software functions related to Systems Analysis, Data Administration, Database Management Systems, Operating Systems, Data Communications Systems, On- Line Applications Programming contingency planning, evaluation, and selection of telecommunications, local area networks, computer hardware and software products, and quality assurance functions. Routinely serves as an in-house expert and authority in the aforementioned extremely complex and highly specialized areas. Coordinates multiple ongoing projects of extraordinary technical complexity, encompassing multiple areas of information processing technology. Directs major undertakings that run in a large multi-mainframe environment data center, and/or an environment of distributed processing systems combining numerous types of hardware and software. May supervise a unit or units engaged in work related to the aforementioned complex software functions. In the temporary absence of the supervisor, may perform the duties of that position. Qualification Requirements: A baccalaureate degree from an accredited college, including or supplemented by 24 semester credits in computer science or a related computer field and two years of satisfactory full-time computer software experience in computer systems development and analysis, applications programming, database administration, systems programming, data communications, including one year in a project leader capacity or as a major contributor on a complex project; or A four-year high school diploma or its educational equivalent and six years of satisfactory full-time computer software experience as described in "1" above, including one year in a project leader capacity or as a major contributor on a complex project; or Education and/or experience equivalent to "1" or "2" above. College education may be substituted for up to two years of the required experience in "2" above on the basis that 60 semester credits from an accredited college is equated to one year of experience. A master's degree in computer science or a related computer field may be substituted for one year of the required experience in "1" or "2" above. However, all candidates must have at least a four-year high school diploma or its educational equivalent and at least one year of satisfactory full-time experience in a project leader capacity or as a major contributor on a complex project. Special Note To be eligible for placement in Assignment Level IV, in addition to the Qualification Requirements stated above, individuals must have one year of satisfactory experience in a project leader capacity or as a major contributor on a complex project in data administration, database management systems, operating systems, data communications systems, capacity planning, and/or online applications programming. OTHER INFORMATION: Pursuant to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the "Commission"). Equal Employment Opportunity MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

Posted 30+ days ago

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Dexterity.aiRedwood City, CA

$160,000 - $200,000 / year

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and their limitations and bringing your expertise in Computer Vision and developing ML models. Additionally, you will be responsible for updating and scaling our current ML pipelines to cover more scenarios and improve accuracy. You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like Pytorch, Tensorflow etc... Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful. In addition, a solid grounding in writing optimized code in C++ and Python. Additionally, familiarity with cloud infrastructure to build training and serving pipelines is also a key aspect to this role. At Dexterity, our use cases require low latency inference that approaches real time and therefore you must be able to build highly performant models and serving architectures. While an understanding of open source solutions is a useful prerequisite, we also require that the candidate has experience building their own models and setting up training pipelines. The end to end process of gathering, augmenting, labeling data and curating datasets, studying performance and optimizing quality of the model, as well as training, deploying and troubleshooting models on the field will be under your purview. About Dexterity At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! Required Skills: BS/MS in Computer Science, Machine Learning or a related discipline, or equivalent experience 5 or more years of related work experience Experience with OpenCV and Open3D Prior experience building, training and deploying production ML models from scratch using PyTorch and Tensorflow Strong knowledge of Modern C++ and Python Experience using profilers and debuggers to optimize code Experience building and maintaining production code Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, Flask and others Strong academic background and knowledge of ML and academic papers Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines Ability to trace and solve problems across interconnected systems, pipelines and applications Experience with Git and modern CI pipelines Nice to haves: Experience with Docker and Kubernetes Previous startup experience $160,000 - $200,000 a year Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. The annual base salary range for this position is from $160,000 to $200,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis. Equal Opportunity Employer We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Posted 30+ days ago

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Allen Control SystemsAustin, Texas
Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers. With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. What You'll Do: Lead the development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification. Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability. Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture. Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions. Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company. Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges. What You'll Need: Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career. At least a Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision. 6+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics. A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications. Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar. Experience with embedded systems and integrating computer vision algorithms into hardware. Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems. You enjoy mentoring and collaborating with other engineers to solve complex technical challenges. What We Offer: Competitive salary ACS Equity Package Health, Dental, Vision Insurance Paid Time Off Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Posted 1 week ago

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VoxelSan Francisco, California
Who Are We Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology. Voxel’s site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC’s. What You'll Do Lead State-of-the-Art Research : Invent and implement computer vision and generative AI algorithms that push the boundaries of the field. Stay abreast of the latest advances in deep learning, visual reasoning, and large-scale data processing Design Scalable Real-Time Systems : Create models that can reliably handle input from thousands of always-on video cameras, running at scale 24/7, and extract actionable insights around safety issues Collaborate with Cross-Functional Teams : Work closely with software engineering, cloud, and ML operations teams to optimize data ingestion, model retraining, and redeployment flows across large-scale infrastructures Consult on Customer Solutions : Advise Sales, Customer, and Field Engineering teams in defining and customizing solutions to meet complex client requirements Contribute to Product Evolution : Transfer research findings into production, contributing to the continuous improvement of our cutting-edge platform Drive Continuous Innovation : Shape Voxel’s vision for deploying generative AI to solve industrial and enterprise-scale computer vision problems, using millions of videos to find patterns and deliver actionable insights to customers. Minimum Qualifications Educational Background :Bachelor’s degree in Computer Science, Electrical Engineering, or a related field + 5 years of professional experience; OR Master’s degree in a relevant field + 3 years of professional experience; OR PhD in Computer Vision, Machine Learning, or a similar area. Deep Learning & Computer Vision Expertise : Proven experience in building and deploying deep learning models (e.g., convolutional neural networks, visual reasoning architectures) for large-scale image or video analysis. Practical Experience at Scale : Hands-on track record in processing and extracting insights from large video datasets (e.g., millions of video). Research-to-Product Transition : Demonstrated ability to translate innovative computer vision, machine perception, or machine learning research into shipping products or real-world applications. Generative AI Exposure : Familiarity with generative models and techniques, with a passion for applying them to real-world computer vision and safety use cases. Collaboration & Communication : Excellent written and verbal communication skills; able to lead cross-functional discussions and clearly articulate complex technical concepts to diverse stakeholders. Preferred Qualifications Experience with VLMs or Multi-Modal Architectures : Familiarity training or fine-tuning large Visual Language models that integrate text and visual components. Video-Based Modeling : Hands-on experience building and optimizing video-focused neural networks for tasks such as activity recognition, action localization, or spatiotemporal understanding. Why Join Us? Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment. Benefits: Extensive / Generous health, dental, and vision insurance. Highly competitive paid parental leave and support system. Ownership in the business through an Equity Incentive Plan. Generous paid time off and / or flexible work arrangements. Daily meals in-office, vibrant company events, team-building. 401K retirement plan, HSA options, pre-tax Commuter Card.

Posted today

Micron logo
MicronBoise, Idaho
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. A Computer Engineer is a software development/support role focusing on semi-conductor/EDA design flows/tools. At Micron Technology, Inc., you will be working in a fast-paced, collaborative, production support role evaluating, developing, improving and debugging both in-house and commercial EDA tools and flows for the design, physical layout, and verification of CMOS integrated circuits. Responsibilities Innovating to develop tools, flows, and methodologies to increase the efficiency and reliability of our memory designs. Providing training, documentation, and support to end-users on new tools and methods. Collaborating closely with design and process teams Minimum Qualifications Excellent programming fundamentals are required Good communication and problem-solving skills are required Experience with Unix and shell scripting is helpful In-depth experience in the SKILL and Python programming languages are preferred, but recent and proven experience in C, C++, JAVA, Visual Basic, Perl, or Lisp will be considered A Bachelor’s Degree or equivalent experience in Computer Engineering, Computer Science with circuits/VLSI coursework, or other degrees with relevant proven experience Preferred Qualifications Demonstrated ability in EE or CE including VLSI circuit design and software required Demonstrated ability in IC design CAD tools (schematics, layouts, simulation, and verification tools) Direct experience with CMOS implementation including area, speed, and power tradeoffs As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit micron.com/careers For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Posted 30+ days ago

Grand Valley State University logo
Grand Valley State UniversityGrand Rapids, Michigan
The Electrical and Computer Engineering (ECE) department within Grand Valley State University’s Padnos College of Engineering invites applications for a tenure-track faculty position at the Assistant Professor level to start in August 2026, subject to funding approval.This position will support the continued growth of GVSU’s Electrical and Computer Engineering department. The Computer Engineering Program offers ABET-accredited Bachelor of Science in Engineering (BSE) degrees as well as a Master of Science in Engineering (MSE) degree. The BSE program includes mandatory co-operative education and an extensive experiential learning component. The MSE program emphasizes professional practice as well as applied research. Partly sponsored by local industry, our programs yield industry prepared or graduate school-ready engineering graduates in support of diversified industries and research institutions.The new hire will be expected to engage in high-quality mentoring and teaching at both the undergraduate and graduate levels, contribute to an environment of inclusive excellence, develop a research program that includes both undergraduate and graduate students as well as external funding, and participate in departmental and professional service. Priority will be given to applicants with teaching and industrial experience as well as experience related to project management. Required Qualifications and Education: Doctoral degree in Computer Engineering or a closely related field. Excellent verbal and written communication skills. Commitment to delivering high-quality laboratory and project-based teaching. Expertise with electronic instrumentation and proficiency in C and Python programming. Applicants with expertise in all areas of computer engineering are encouraged to apply. Preferred Qualifications: Preference may be given to applicants with: Teaching and industrial experience, along with experience related to recruiting and managing industrial grade projects. An ability to participate in and capitalize upon existing collaborations with our West Michigan industrial partners and with a history of external funding. Expertise in the following areas: Hardware/Embedded security , firmware development, network intrusion, penetration testing, machine learning, artificial intelligence, computer vision, VLSI or related interdisciplinary domains . Responsibilities – Essential Functions: Teaching in undergraduate and graduate courses across the ECE curriculum Expected to demonstrate excellent laboratory skills, manage class projects, and foster a hands-on learning environment. Support co-op-education, project-based curriculum as well as industrial collaborations. Provide service to the unit, college, university, community and profession. Salary & Benefits: Minimum starting salary of $90,000, commensurate with experience. Comprehensive benefits package including medical, vision, dental, life insurance, generous employer retirement contributions, wellness resources and tuition waiver effective on date of hire. Department/Division: Electrical and Computing Engineering Department/Computer Engineering Campus Location: Robert C. Pew Grand Rapids Campus, Grand Valley State University, 301 Fulton Street W., Grand Rapids, MI 49504-6495 How to Apply : Please Include a (1) letter of interest or nomination, (2) curriculum vitae, (3) statement of teaching philosophy, and (4) at least three references. The online application will allow you to attach these documents electronically. On the application, you will be required to provide names, address, phone numbers, and e-mail addresses for three professional references. Applicants selected for interviews will be required to submit official transcripts prior to the interview. If you need technical assistance, email Human Resources at hro@gvsu.edu. Questions about the position may be directed to the search Chair, Chirag Parikh at parikhc@gvsu.edu . Application Deadline : Consideration of applications will begin immediately and the posting may be closed at any time at the discretion of the University. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Must have the physical stamina to work long hours and/or more than 5 days per week. The requirements listed are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The information contained in this job description is for compliance with the Americans with Disabilities Act as amended by the ADA Amendment Act (2008), Section 504 of the Rehabilitation Act of 1973, and other applicable federal and state laws that prohibit discrimination on the basis of disability. GVSU will provide reasonable accommodations to qualified individuals with disabilities upon request. See www.gvsu.edu/equalopportunity/ . TDD Callers: Call Michigan Relay Center at 711 (in State) or 1-800-833-7833 (out of State). Grand Valley State University is an Antidiscrimination/Equal Opportunity Employer, which includes providing equal opportunity for protected veterans and individuals with disabilities. University policy extends protections to additional identities.

Posted 1 day ago

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Senior Computer Vision Engineer - Deployment

XPeng Inc.Santa Clara, CA

$174,720 - $295,680 / year

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Job Description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.

We are seeking a passionate and skilled Senior Computer Vision Engineer to lead the development and deployment of high-performance, large-scale AI models. You will focus on optimizing model inference, implementing compression techniques (quantization, pruning, distillation), and ensuring efficient on-device deployment across GPU and custom AI accelerator platforms. Your work will directly enable the next generation of intelligent systems in autonomous driving and beyond.

Key Responsibilities:

  • Optimize large-scale multimodal models for low-latency inference and efficient memory usage across diverse hardware platforms.
  • Apply state-of-the-art model compression techniques, including quantization (e.g., INT8/FP16), pruning, and knowledge distillation.
  • Develop and integrate custom inference kernels targeting GPU or custom AI accelerators.
  • Build profiling tools and performance models to analyze bottlenecks and guide optimization strategies.
  • Contribute to real-world deployment efforts in autonomous driving systems, including on-vehicle testing and iteration.
  • Track the latest research in efficient ML inference and integrate relevant techniques into production pipelines.

Minimum Requirements:

  • Master's or Ph.D. in Computer Science, Electrical Engineering, or related field. Open to recent graduates.

  • Strong coding skills in C++ and Python with a focus on performance and scalability.

  • Proficient in deploying deep learning models using TensorRT, ONNX Runtime, or TVM.

  • Familiarity with CUDA programming and parallel computing principles.

  • Solid understanding of model inference workflows and system-level performance tuning.

  • Experience in quantization-aware training or post-training quantization.

  • Effective communicator and collaborative team player.

Preferred Qualifications:

  • Hands-on experience with deploying vision-language or large multimodal models.

  • Familiarity with low-precision inference (INT8/FP16), kernel fusion, and operator-level optimization.

  • Experience in autonomous driving, robotics, or edge AI applications.

  • Track record of open-source contributions or publications in ML/AI conferences (e.g., NeurIPS, ICML, CVPR).

  • Background in system profiling, latency modeling, or compiler-level optimization.

What do we provide:

  • A fun, supportive and engaging environment

  • Infrastructures and computational resources to support your work.

  • Opportunity to work on cutting edge technologies with the top talents in the field.

  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving

  • Competitive compensation package

  • Snacks, lunches, dinners, and fun activities

The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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