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From telescopes to software architecture, Observable Space provides the foundational elements every organization needs to operate in space. Observable Space is unlocking continuous, real-time observations of space with the industry’s first line of vertically integrated hardware and software products. The company is the result of a merger between PlaneWave Instruments, the leader in advanced telescope design and manufacturing in the US, and OurSky, a company founded by SpaceX’s former VP of software engineering to create a developer platform for space data applications. Observable Space’s full line of products serves all sectors of the space industry including commercial, science, education, and government customers, as well as astronomy enthusiasts discovering the cosmos. Observable Space is backed by top institutional investors–Upfront Ventures, Oceans Ventures, Venrex, Marlinspike Partners, and Embedded Ventures. We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and astronomers from SpaceX, DARPA, SmartThings, and Bird. This role will report to the CTO. Key Responsibilities Stay abreast of the latest advancements in SDA/SSA, Photometry, and novel image processing techniques by regularly reviewing research papers and publications. Collaborate with software development teams to conceptualize, develop, and implement proof of concept based on cutting-edge research. Evaluate, train, and customize combination models based on state of the art backbones (Unet, vision transformer, resenet, etc) Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse. Design and generate simulated data for rapid testing of proof of concept algorithms. Coordinate with operations and engineering teams to gather real-world data for validating algorithms against synthetic test cases. Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific processes. Effectively communicate complex research findings to both technical and non-technical stakeholders, providing clear and concise insights. Basic Qualifications Masters degree in Engineering, Mathematics, or a related field of study, or equivalent professional experience. Strong foundation in mathematics or computational mathematics. Strong and demonstrated programming ability in C++ or C in a professional environment. Demonstrated experience in first principles engineering and science. Detail-oriented with the ability to manage and execute complex, multidisciplinary research projects. Experience in machine learning model training using PyTorch or TensorFlow. Experience in classical vision techniques with an emphasis on OpenCV. Preferred Qualifications Ph.D. in Engineering, Mathematics, or a related field of study. Experience in machine learning model training using PyTorch or TensorFlow. Knowledge or experience in astrodynamics. What We Offer Competitive Compensation – A salary package aligned with industry standards and your experience. Equity Opportunities – Take part in our success with stock options. Flexible Work Environment – Enjoy working from our office or in a hybrid work setup with the flexibility to work remotely part of the week. We require a minimum of 3 days per week in our office to support collaboration and team culture. (LA Office only) Unlimited PTO – Take the time you need with our flexible, trust-based vacation policy, including paid holidays. We encourage everyone to rest, recharge, and take care of themselves. Health & Wellness – Comprehensive medical, dental, and vision coverage with 100% of the premium paid by the employer for employees. Cutting-Edge Tools – Get access to the latest hardware and software you need to do your best work. Mission-Driven Culture – Be part of a team working on meaningful challenges with real-world impact. Inclusive Team – We foster a supportive and diverse workplace where all voices are valued. Observable Space is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other basis protected by federal, state, or local law.

Job Description This person will assist with developing electronics, test systems, and embedded microcontroller-based solutions for our customers. A candidate does not need to have all of the qualifications listed below. TSC will mentor the candidate into the role based off of existing capabilities and ability to learn. Responsibilities: This position requires a flexible individual with experience in electrical engineering. Depending on their expertise, this person’s responsibilities would include some or all of the following: Support the research and selection of electronics and hardware to include individual chip scale components, System on Chip (SoC), System on Module (SoM), and Commercial Off-The-Shelf (COTS) solutions Support the development, testing, debugging, and integration of embedded hardware and/or software solutions Interface with customers and vendors to ensure product performance is to customer specifications and to appropriate standards Required Qualifications: Bachelor’s degree in Electrical, Computer, or related engineering discipline Knowledge of electrical circuits and reading schematics Ability to obtain and maintain a Secret DoD Clearance Preferred Qualifications: Analog, digital, or RF circuit design and PCB layout Expertise in C, C++, and/or C# FPGA Software Development Real-Time Operating System (RTOS) and bare-metal microcontroller design using C and C++ Job Type: Regular Security Clearance: Secret Schedule: Full time, Day shift Travel: Minimal as needed Relocation Assistance Available: Yes Position Contingent Upon Award of Contract: No Technology Service Corporation Benefits: Technology Service Corporation offers a stable work environment, a competitive salary, and a comprehensive benefit package; including ESOP participation, 401k Plan, Flexible Work Schedules, Tuition Reimbursement, Co-Sponsored Health Plan, Paid Leave and much more. Applying to Technology Service Corporation: Only those candidates invited for an interview will be contacted. Employment at Technology Service Corporation is contingent upon the successful completion of a comprehensive background check, security investigation, and a drug screening. This contractor and subcontractor shall abide by the requirements of 41 CFR 60–1.4(a), 60–300.5(a) and 60–741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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, for applicants who are not U.S. lawful permanent residents, U.S. Citizens, or have been granted asylee or refugee status (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), employment 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

We are excited to offer an on-campus job position for college students! This is a fantastic opportunity to gain valuable work experiences while balancing your academic commitments. We're seeking motivated students who are eager to join the Ivy Tech team!Work-Study positions are federally funded, part-time positions. These positions are located on campus, internship-type positions are available for general office support, lab and technology support, and tutoring. They also require clerical, computing, and telephone skills. Each position will have a specific set of responsibilities will be explained during the interview process.The Learning Center Computer Attendant provides front-line support for students, faculty, and staff using the library’s computer lab. The attendant ensures a welcoming, organized, and productive environment by monitoring lab activity, assisting users with technology, and upholding library policies. Duties and Responsibilities: Assisting users with logging in, printing, and basic software questions Assisting with keeping the Learning Center clean and organized Monitoring equipment and reporting issues Providing friendly customer service and enforcing Learning Center policies. Possibly assisting with the Ivy Tech Muncie ‘Literacy On All Levels Space’ equipment/ cataloging on occasion. Complete other duties as assigned. Qualifications: Must be eligible for Federal Work-Study. Strong communication and customer service skills. Basic knowledge of computer hardware, software, and printing. Reliability, punctuality, and ability to work independently. Willingness to learn new technologies and procedures. Work Schedule: Flexible hours during Center hours, though 11 am – 1 pm are preferred. Compensation: Hourly wage according to institutional work-study guidelines. Please use your Ivy Tech email address when applying. 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. 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.

J. P. Mascaro & Sons is a locally owned and operated private family-owned company who has been experiencing record growth and success. In 1964, it started with one truck. We have grown into one of the largest most successful fully integrated solid waste companies serving the mid-Atlantic area. The Computer Programmer 's duties will include reviewing, and updating existing programs, identifying, and fixing defects, supporting data architecture, generating reports, developing in‐house software, and mitigating potential risk. Your expertise in the craft of programming will assist our organization in increasing efficiency and service to our customers and employees through the construction, maintenance, and streamlining of our business process, computing systems and programs The ideal candidate for this role must possess superior coding skills, excellent communication, high concentration levels, good task management, and superior problem solving and critical thinking skills. Essentially, the Computer Programmer must enhance the efficiency and cost‐effectiveness of systems, resolve errors, and design programs that are customized to our organization's needs. Before final interview, candidate must be able to provide examples of work skills This position is not a work from home position, you are expected to be in the Corporate IT Department to perform the duties and responsibilities listed. Computer Programmer Responsibilities: Coding and debugging Maintaining operating systems Designing and testing computer structures Editing source‐code Troubleshooting errors Profiling and analyzing algorithms Writing computer instructions Implementing build systems Managing database systems Detailed documentation for work Computer Programmer Requirements: Expert IT skills Analytical and problem‐solving skills Strong aptitude for math Aptitude for learning new technology Advanced knowledge of operating systems Deadline driven Visual Studio and the .NET Framework, Java, C++, SQL, C#, Mobile(Android/IOS) and HTML experience Superior communication skills Compensation: $50,000 - 60,000 Benefits: 401(k) Dental insurance Disability insurance Employee assistance program Health insurance Life insurance Paid time off Vision insurance For over 40 years, our motto has been "If it's service, it's us" . We cannot meet the goals of our company if we do not satisfy our customer's needs first. Our existence is dependent upon them. Our employees are our greatest asset. We invest in the growth and success of our employees. Come join our team!!

Position Summary: Required Qualifications: Applicant must have a Master's Degree in Computer Science and the ability to teach the following courses: CGS 1103 – Project Management CGS 2105 – IT Project Management Software Applications CGS 2091 – Information Technology: Ethical/Legal Issues CGS 2541 – Database Design CGS 2301 – Management Information Systems Supplemental Job Information The College is seeking applicants to teach part-time for upcoming semesters. Applications will remain actively on file for one year. To be considered, applicants must have been awarded the qualifying degree and/or qualifying graduate semester hours. If you are selected for a screening interview for an adjunct faculty position, you must bring an official transcript(s) in a sealed envelope from the educational institution to the interview. Applicants with a qualifying degree from an educational institution outside the United States and Canada must submit a foreign credential evaluation from one of the members of the National Association of Credential Evaluations Services (website: www.naces.org ). Additional Documents Required To complete your application, you must attach a copy of your graduate academic transcripts from a regionally accredited institution of higher education, showing attainment of at least the minimum qualifications. Do not send official transcripts to the College unless specifically asked to do so at a later date . You can scan your transcript(s) and attach to the application. If you cannot attach your transcripts, contact the Employment Office prior to the job close date (if applicable) and we will attach the document(s) for you. If the transcript does not reflect the awarding of the qualifying degree, or the attainment of the required graduate semester hours, attach written documentation from the educational institution showing when the degree was awarded or hours earned. Pay Rate Adjunct faculty is compensated at $ 76 . 00 per instructional load point (based on the number of assigned load points). No distinction is made for advanced degrees and pay is calculated based on actual classes taught (the load points). Load points are generated: (1) one lecture or distance learning credit hour generates 10 load points and (2) one laboratory contact hour or one clinical contact hour generates 8 load points. Location: Brandon campus, Hillsborough Community College is an Equal Opportunity Employer, we believe that diversity and inclusion among our applicants and employees is critical to our success as a community partner. All qualified applicants will receive consideration for employment opportunities without regard to race, color, religion, sex, pregnancy, national origin, age, physical/mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, and military/veteran status. Preference will also be given to veterans and spouses who are eligible under the Veterans' Preference Law. At time of application, submittal of Form DD214 is the minimum requirement for veterans' preference claim. Note: Please upload your DD214 as an attachment as part of your application at the time of submission. The selected candidate identified for this position will be required to successfully complete a Level II criminal background check, which includes fingerprinting. Hillsborough Community College participates in the US E-Verify program. Apply Today to join our team

Company Overview NerdsToGo is a cool, fast-growing brand that provides computer solutions to residential consumers and small businesses. We service every type of technology from computers, phones, tablets and printers to networks, internet connections, security and much more! Job Summary The Nerd will complete desktop configurations, installations and upgrades of personal computer hardware and software, perform technology audits, provide software and operating system support on Mac and all versions of Windows, and offer proactive remote monitoring on business systems. The Nerd must have a strong field service background and customer service skills. Nerds must have solid technical skills, good communication skills and the desire to be a part of growing and exciting team. Responsibilities Onsite computer solutions for Windows-based PCs and Apple computers Offer solutions such as hardware upgrades and remote monitoring to Residential customers and Business customers Network installation and maintenance (wired, wireless, LAN, WAN) Data recovery and loss prevention Virus protection and Spyware/Adware removal Computer security enhancement PC Hardware and software fault isolation and repair System repair and upgrades Software upgrade and installation One-on-one training Qualifications 2-5 years of experience with Windows-based PCs (Win7, Win8, Win10) and networking in both residential and business environments Strong knowledge of PC troubleshooting and repair, both hardware and software/OS Knowledge of network troubleshooting and installation, wireless setup and management, Routing and switching (ex. Network+, MCSE, etc.) Proficiency with peer-to-peer and client/server network configurations and troubleshooting Professional, high-energy, customer-oriented work ethic Valid driver’s license and a clean driving record Must be willing to submit to mandatory background check Benefits/Perks Great culture Access to fully branded Nerd Van Opportunity to be a part of a growing brand! Compensation: $15.00 - $25.00 per hour IT SERVICE PROFESSIONALS NerdsToGo is dedicated to providing customers with fast, friendly, and knowledgeable Computer Service and Technology Solutions for a variety of devices. Our professional “Nerds” can help fix your Apple, Android, or Microsoft product, from cracked iPhones to slow or unresponsive laptops and everything in between. JOIN OUR TEAM AT NERDSTOGO At NerdsToGo, our technicians don’t just "go to work." Our business model has created a culture of excellence where Nerds are given the opportunity to grow and profit from their skills, while offering a high-standard of professional service to each and every one of our many loyal customers. If you are ready for an opportunity to do what you love doing, have fun, and be part of one of the fastest growing companies in the industry, you’ve come to the right place. NOW HIRING! We’re growing fast, so we’re looking for skilled applicants to fill positions throughout the country. If computers, smartphones, and tablets "speak to" you, or if you’re looking to expand your talents and start helping others with their IT problems, NerdsToGo may be the right fit for you. This franchise is independently owned and operated by a franchisee. Your application will go directly to the franchisee, and all hiring decisions will be made by the management of this franchisee. All inquiries about employment at this franchisee should be made directly to the franchise location, and not to Nerds To Go Corporate.

Why Hover wants you Our Computer Vision team has doubled in size over the past year, and we’re looking for a strong engineering manager to keep that momentum healthy and sustainable. You’ll partner with our current CV leader to split the growing roster into focused pods, establish clear ownership boundaries, and ensure the team’s research breakthroughs continue to land in production on predictable cadences. In this role, you’ll hire, coach, and retain top vision talent. You'll lead a core team with an outsized impact, owning and scaling a key product line at Hover. You’ll split your time between strategic leadership—shaping the roadmap, scaling processes, and mentoring ICs—and hands-on engagement with cutting-edge 3D computer vision technology. You will contribute by Leading the Team: Build and nurture a high-performing, diverse team of senior ICs and emerging leaders. From hiring and onboarding to coaching and career-pathing, you’ll make talent development your first priority. Owning a Scaling Product Line: Take end-to-end ownership of a critical computer vision product area, ensuring our research breakthroughs translate into production systems that delight customers at scale. Shaping the Roadmap: Partner with Product and Design to translate market opportunities and research advances into a sequenced plan. You’ll balance innovation with operational excellence, driving projects from data strategy and experimentation through to reliable production deployment. Driving Technical Excellence: Set engineering standards for accuracy, latency, cost control, and reliability. Model strong cross-functional collaboration and ensure your team’s work integrates smoothly into Hover’s larger platform. Communicating Impact: Clearly articulate progress, trade-offs, and technical choices to executives, stakeholders, and the broader team; earning trust at every level. Your background includes 2+ years of managing high impact CV/ML teams (or tech lead / staff+ leadership) with a track record of building high-performing teams. 5+ years of hands-on experience in computer vision or ML (ideally 3D reconstruction, multi-view geometry, or ML-based reconstruction). Proven track record partnering with product teams to scope features, run experiments, and iterate based on customer feedback and data. Familiarity with modern MLOps stacks (cloud GPUs, CI/CD, monitoring) and a passion for measurable reliability and cost control. Ability to articulate complex trade-offs to executives, engineers, and customers alike. Bachelor’s, Master’s, or PhD in CS, ML, or related field. Nice to haves Experience managing geographically distributed or hybrid teams. Publications in CVPR/ICCV/ECCV and a track record of turning research into revenue. Benefits Compensation- Competitive salary and meaningful equity in a fast-growing company Healthcare- Comprehensive medical, dental, and vision coverage for you and dependents Paid Time Off- Unlimited and flexible vacation policy Paid Family Leave- We support work/life balance and offer generous paid parental and new child bonding leave Mandatory Self-Care Days- A day set aside each month to allow employees to recharge Remote Wellbeing Resources- We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance Learning- We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications Hybrid roles at Hover Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles. The US base salary range for this full-time position is $247,000 - $305,000 annually. 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 applicable 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. #LI-JN1 #LI-Hybrid

Company Overview NerdsToGo is a cool, fast-growing brand that provides computer solutions to residential consumers and small businesses. We service every type of technology from computers, phones, tablets and printers to networks, internet connections, security and much more! Job Summary The Nerd will complete desktop configurations, installations and upgrades of personal computer hardware and software, perform technology audits, provide software and operating system support on Mac and all versions of Windows, and offer proactive remote monitoring on business systems. The Nerd must have a strong field service background and customer service skills. Nerds must have solid technical skills, good communication skills and the desire to be a part of growing and exciting team. Responsibilities Onsite computer solutions for Windows-based PCs and Apple computers Offer solutions such as hardware upgrades and remote monitoring to Residential customers and Business customers Network installation and maintenance (wired, wireless, LAN, WAN) Data recovery and loss prevention Virus protection and Spyware/Adware removal Computer security enhancement PC Hardware and software fault isolation and repair System repair and upgrades Software upgrade and installation One-on-one training Qualifications 2-5 years of experience with Windows-based PCs (Win7, Win8, Win10) and networking in both residential and business environments Strong knowledge of PC troubleshooting and repair, both hardware and software/OS Knowledge of network troubleshooting and installation, wireless setup and management, Routing and switching (ex. Network+, MCSE, etc.) Proficiency with peer-to-peer and client/server network configurations and troubleshooting Professional, high-energy, customer-oriented work ethic Valid driver’s license and a clean driving record Must be willing to submit to mandatory background check Benefits/Perks Great culture Access to fully branded Nerd Van Opportunity to be a part of a growing brand! Compensation: $15.00 - $25.00 per hour IT SERVICE PROFESSIONALS NerdsToGo is dedicated to providing customers with fast, friendly, and knowledgeable Computer Service and Technology Solutions for a variety of devices. Our professional “Nerds” can help fix your Apple, Android, or Microsoft product, from cracked iPhones to slow or unresponsive laptops and everything in between. JOIN OUR TEAM AT NERDSTOGO At NerdsToGo, our technicians don’t just "go to work." Our business model has created a culture of excellence where Nerds are given the opportunity to grow and profit from their skills, while offering a high-standard of professional service to each and every one of our many loyal customers. If you are ready for an opportunity to do what you love doing, have fun, and be part of one of the fastest growing companies in the industry, you’ve come to the right place. NOW HIRING! We’re growing fast, so we’re looking for skilled applicants to fill positions throughout the country. If computers, smartphones, and tablets "speak to" you, or if you’re looking to expand your talents and start helping others with their IT problems, NerdsToGo may be the right fit for you. This franchise is independently owned and operated by a franchisee. Your application will go directly to the franchisee, and all hiring decisions will be made by the management of this franchisee. All inquiries about employment at this franchisee should be made directly to the franchise location, and not to Nerds To Go Corporate.

For the OPS Consulting team, ‘the power to help’ means helping our clients, helping serve the mission, helping our employees and their families, and helping the community. Headquartered in Hanover, MD., OPS Consulting has over two decades of experience specializing in the most mission-critical operations. We are thought leaders and innovators. The ingenuity of our developers, engineers, cyber experts, linguists, and analysts are dedicated to empowering our clients, fulfilling The Mission, and remaining trusted leaders and advisers in national security and technology solutions. We are looking for a Computer Network Defense Analyst (CNDA) to join a growing team in multiple locations such as Annapolis Junction, MD and Salt Lake City, UT. Responsibilities: Use information collected from a variety of sources (e.g., intrusion detection systems, firewalls, network traffic logs, and host system logs) to identify potential vulnerabilities, respond to cyber events that occur, and defend against events that might occur. Help develop mitigations to strengthen network defenses and protect against attacks on network infrastructure devices or systems. Work with data transport, such as traditional wired networks, wireless transport (including Wi-Fi and cellular), collaborative platforms such as video teleconferencing, and the hardware and software that support it all. Requirements: Bachelor's Degree in Network Engineering, System Engineering or related field. At least 5 years demonstrated experience within the Department of Defense (DoD) as a Computer Network Defense Analyst. CNDAs must have experience in network or system administration. Experience with Computer or information systems design/development, programming, information/cyber/network security, vulnerability analysis, penetration testing, computer forensics, information assurance, and/or systems engineering. Foreign Language may count toward experience requirements. Desired: Relevant Certs or Specialized Training would include (but not limited to): JCAC graduate, CEH, CFR, CySA+, GCIH, CNDSP Security Clearance: A current government clearance, background investigation, and polygraph are required. #LI-CD1 #OpsConsulting The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class. Pay Range: $49,996.80 - $290,004.00 Pay ranges are a general guideline and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, work experience, education, certifications, Federal Government contract labor categories, and contract wage rates. At The Swift Group and Subsidiaries, you will receive comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits.

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. All About You The Department of Computer Science in the School of Science and Engineering at Saint Louis University is seeking part-time adjunct faculty on an on-going basis to teach undergraduate and graduate courses in computer science. Qualified applicants will be reviewed and placed in a pool to be contacted as openings become available. To teach at the undergraduate level, faculty must hold a degree in computer science or equivalent industry experience relevant to the subject of the course. To teach at the graduate level, faculty should hold an MS or PhD in computer science or a closely related field, or a Bachelor's degree in CS or a related field combined with at least 5 years of relevant professional experience. For a list of possible classes that we offer, please see: https://cs.slu.edu/academics/courses The Computer Science Department is a fast-growing unit that offers a range of undergraduate and graduate degrees in Computer Science, Software Engineering, and Artificial Intelligence, as well as supporting joint programs in Data Science and in Bioinformatics and Computational Biology. Our department faculty are renowned scholars and educators who help design, lead, and support these programs. They design and deliver the educational experience, and are the principal investigators in cutting-edge research. Collectively the faculty serve in leadership positions at professional organizations, publish and present their work in the top national and international venues, have created and presented innovative educational techniques, and have authored textbooks used by hundreds of institutions worldwide. Saint Louis University is a Catholic, Jesuit institution dedicated to student learning, research, healthcare, and service. The newly formed School of Science and Engineering, founded in 2022, is interdisciplinary by design – bringing together our engineering departments (Aerospace and Mechanical, Biomedical, Civil, and Electrical and Computer Engineering) with our Aviation, Computer Science, Chemistry, Physics, and Earth and Atmospheric Sciences departments. The School offers a wide range of graduate and undergraduate degrees, and our faculty hold funding from sources such as the National Science Foundation, National Institutes of Health, the Alfred P. Sloan Foundation, Siemens, and the Missouri and Illinois Departments of Transportation." Vaccine Protocol Saint Louis University requires COVID-19 vaccinations for all students, staff, and faculty who are physically present on our St. Louis campuses. As a prospective and/or a new employee at Saint Louis University, you will be/are required to comply with the University’s vaccination protocol. Proof of full vaccination is required before the start of employment in order to work at Saint Louis University. If you are not vaccinated, you are required to begin the vaccination process at the time of your first day of employment and submit proof of full vaccination within 30 days of your start date. Exemptions may be granted on the grounds of religious beliefs or medical circumstances. Failure to comply with the vaccine requirement within 30 days of an employee’s start date will result in termination of the employment. Proof of vaccine will be submitted through an online portal made available to you during your Workday onboarding tasks. Function Faculty - Adjunct Scheduled Weekly Hours: 10 Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. We welcome and encourage applications from minorities, women, protected veterans, and individuals with disabilities (including disabled veterans). If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

Please note this is a hybrid role expected in office (SF) on Tues and Thurs. Glacier is a Series A startup based in San Francisco that builds robots and image data collection devices to improve recycling facilities in the following ways: a robot that identifies and sorts materials inside recycling facilities an analytics system that tracks recyclables and reports metrics to key stakeholders in the industry. These technologies are already helping to divert tons of recyclables (literally!) from landfills every day. We’re looking for a talented machine learning engineer to help us further improve these game-changing technologies. About us: We’re a small team based in SF and as an early ML team member you’ll have a significant role in shaping Glacier’s future. Our founders come from Facebook engineering and Bain consulting. We’re backed by top-tier VCs with extensive technical and industry expertise. We have a fleet in production and a robust pipeline of upcoming deployments. About the role: You will own the full ML model lifecycle—from data ingestion to production deployment and monitoring—across cloud, local, and on-prem infrastructure. You will be responsible for training computer vision models, building infrastructure for large-scale inference and data analysis, and driving new projects to use machine learning to reduce waste. Your responsibilities: Drive the performance of our computer vision models. That includes: building ML infrastructure, fine tuning our model and training process, improving our data collection, and ensuring high quality, diverse training data. Develop, train, evaluate, and deploy ML models that directly support customer-facing products. Maintain a high bar for model performance monitoring, alerting, and retraining pipelines to ensure measurable business impact. Build automation and experimentation into our full ML lifecycle, enabling us to deploy systems and create impact at scale. Collaborate cross-functionally with machine learning engineers, software engineers, hardware engineers, product/program managers, and the sales team to solve real customer problems. Partner with our Head of ML on long-term ML strategy, and help define and scope high-impact R&D initiatives. Help shape the long-term product roadmap — we’ve got big ideas for the future of waste-ending technology, and we’re excited to bring in yours too. Requirements: (If you don't think you meet all of the criteria but are excited about us, please reach out anyway!) 4+ years experience developing machine learning models in a deep learning framework like Tensorflow/Keras or Pytorch. 2+ years of experience in Computer vision model development with object detectors - mandatory Experience with building machine learning infrastructure (training pipelines, hyperparameter tuning, experiment tracking, etc). Strong expertise in Python and hands-on experience in SQL databases. Experience with Linux environments for development and deployment Proficiency with the SciPy ecosystem (numpy, pandas, matplotlib) and distributed computing in frameworks such as Ray. Experience deploying ML models in production and monitoring their performance over time. Demonstrated ability to translate ML work into business impact. Ability to work from our San Francisco office (SOMA neighborhood) twice a week. Why Join Us? Mission-Driven Work – Be part of a company dedicated to sustainability and ending waste. Cross-Functional Impact – Work cross-functionally with an expert, mission-driven team where your technical decisions shape both the product and the company. Backed to Succeed – Our founders bring experience from Facebook and Bain, and we’re supported by top-tier investors with deep technical and industry expertise. The total cash compensation range for this role is $150,000 - $200,000. In addition to cash compensation, Glacier also offers competitive equity compensation and benefits. The final compensation for this role will depend on many individualized factors, including job-related skills and knowledge, experience level, interview performance, and other factors.

Fedway is New Jersey's leading wine and spirits distributor. Servicing over 7,000 restaurants, clubs, taverns and retail stores in New Jersey. We market products that cover every category of the beverage alcohol industry and represent the world's leading distillers, wineries and importers. Our team of managers, sales agents and customer service representatives are here to ensure that you come first. Fedway Associates is seeking a Computer Support Specialist to join our Tech Support Team. This is a full-time position, paid hourly. There are alternating shifts throughout the day with other members of the team. The Computer Support Specialist position is an addition to Fedway's Sales Technology department that focuses on Help Desk support Duties/Responsibilities: Supports both computer hardware and software applications. Configures and sets up equipment including, but not limited to, desktops, laptops, printers, desk phones, and mobile devices. Assists users by answering questions and providing support promptly. Provides problem resolution, reassigning or escalating advanced inquiries to appropriate technicians or staff. Records data are required to analyze and track problems to the final solution. Prepares and presents reports related to IT problems and help desk activity for management review and action. Performs other related duties as assigned. Required Skills/Abilities: Excellent verbal and written communication skills. Proficient in Microsoft Windows and Microsoft Office Excellent organizational skills and attention to detail. Excellent interpersonal skills. Ability to explain technical information in understandable language to nontechnical staff members. Confidence to work independently and self-motivated. Education and Experience: Associates Degree or Technical School/Training 2-3 Years prior work experience is required Physical Requirements: Prolonged periods are sitting at a desk and working on a computer. Must be able to lift approximately 15 pounds at times. Compensation • pay starts at $21 an hour • Annual bonus opportunity Benefits • 401K • Paid holidays • PTO • Vacation Time • Medical, dental, vision, life insurance WE E Verify

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today. Join the ARKA team to learn how Beyond Begins Here. Discover your next internship and career opportunity now! Position Overview: Our Student Program provides amazing opportunities to develop functional job skills and gain real-world experience and expertise. We offer spring, fall and year-round internships and co-ops in fields across the company, including engineering, finance, and business development. As a Computer Science Co-op, you will provide prototyping, coding, testing, scripting and document generation in support of software development activities. You will perform data analysis using proprietary software systems in support of on-going contracts and develop automation software for program-specific data flows on those contracts. You will also develop breadboard implementations of algorithms in MatLab or Mathematica environments based upon mathematical descriptions of algorithm approaches in order to come up with creative solutions to problems. You will benefit from working side by side with a talented and experienced group of professionals eager to mentor. Currently we are seeking a Computer Science Co-op for Spring 2026. Responsibilities: Algorithm prototyping Code development in C++, C# and/or Python Software test development Requirements, test plan, and release documentation generation and updates Data processing Basic Qualifications: Development of moderate-sized desktop applications in a Windows environment using a C-based language (C++, C#, Java, Python) MatLab, Mathematica, Python or equivalent mathematical modeling tools Education Requirements: At least a sophomore pursuing a bachelor’s degree in computer science, computer engineering, mathematics, physics or related field Strong mathematics background including completion of calculus and linear algebra courses Location: Danbury, CT The position is located onsite at our facility in Danbury, CT . Located in beautiful Fairfield County, Danbury offers a diverse economy, wonderful parks, cultural attractions, an impressive mix of private and public educational institutions and a vibrant arts scene. Our facility is nestled among a remarkable selection of communities to call home all with varying price points to fit many different budgets. We’re close to New York City, Boston, and other major cities – great for day trips and weekend getaways. Our lovely seasons along with award-winning institutions, colleges, cultural events, and a genuine sense of community brings a diverse population to the beautiful state of Connecticut! When you choose to join the ARKA Student Program, you will: Gain hands-on experience in your chosen field and share your unique ideas and creative problem-solving skills to help us continue our legacy of innovation Flourish and seamlessly develop great relationships with co-workers Network with students from other universities Participate in activities that support our local communities Work alongside our talented team, including employees who started as interns or co-ops Enjoy companywide employee activities Receive competitive compensation and paid holidays EHS/Environmental Requirements: This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources. ITC & Security Clearance Requirements: This position requires the incumbent to access export-controlled information. If you are not a U.S. Person, any offer is contingent upon the Company's ability to obtain a special license granting you access. This could take several months. You will not be able to begin employment until such license is obtained. Visa Restrictions: No visa sponsorship is available for this position. Pre-employment Screenings: Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.

Nordson Packaging , a global leader in Packaging, is seeking an experienced and highly motivated individual to join our team. We are committed to creating a diverse and inclusive workplace, and we are looking for candidates who share that same commitment. Summary of the role As a member of our team, you will have the opportunity to work in a dynamic and collaborative environment, where your ideas and contributions will be valued and respected. We are actively looking for a Computer Engineer Intern to join our Summer 2025 Intern Program. As a Computer Engineer Intern, you will gain firsthand experience with resource constrained distributed embedded systems. You will be given project-based assignments to facilitate your growth while helping automate and streamline our development process. You will also get the opportunity to collaborate with top developers with experience in a range of development areas from bootloaders to web pages. Job Summary We are actively looking for a Computer Engineer Intern to join our Summer 2025 Intern Program. As a Computer Engineer Intern, you will gain firsthand experience with resource constrained distributed embedded systems. You will be given project-based assignments to facilitate your growth while helping automate and streamline our development process. You will also get the opportunity to collaborate with top developers with experience in a range of development areas from bootloaders to web pages. Essential Job Duties and Responsibilities Design and implement high quality software solutions to meet or exceed project requirements Troubleshoot and debug software issues in a timely and effective manner Test and validate software to ensure it meets requirement guidelines Meet or exceed project deliverable deadline Create detailed documentation of project implementation, roadblocks, and solutions Provide status updates on project progress Education and Experience Requirements Have or pursuing a degree in Electrical Engineering, Computer Engineering or Computer Science Some programming experience in one or more of the following languages C/C++ | Python | JavaScript Introductory grasp of software design principles and software development processes Some debugging experience with and without debugging tools Some experience with real time operating systems (RTOS) An interest in automation Skills and Abilities Self-motivated and passionate about your work and embedded systems Strong interpersonal, oral, and writing skills Ability to work well independently and within a cross functional team environment Strong desire to learn and develop skillset Travel Required Estimated 5% (Domestic Travel) Working Conditions and Physical Demands Office/Industrial Manufacturing Environment. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required to effectively execute this role. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Interested? If you are interested in being a part of a team and creating an inclusive and diverse workplace, please apply online with your CV. About Nordson Packaging Nordson Packaging is the leader in precision dispensing, fluid management, and related technologies. We serve the Packaging end market to improve production efficiency and product quality for a variety of packaging manufacturing processes. By joining our team today, you will help us bring innovative ideas to life. Nordson Packaging is a global team that works to create technology that helps efficiently apply adhesives to meet both form and function for a wide variety of packaging applications like tankless technology, self-diagnostic and intuitive touch-screen controls, auto-fill technology, clean-cutoff and self-cleaning applicators, and pattern generation controls. We offer a supportive culture in a growing and dynamic work environment. Whether you're just beginning your career or you're a seasoned professional, there's a place for you to belong at Nordson Packaging. We offer hourly and salary positions in production, maintenance, customer service, quality, engineering, and more. We actively invest in our teams to help you build your skillsets and advance your career.

Job Description Adjunct Professor - Computer Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach undergraduate and graduate courses in Computer Science. We are dedicated to fostering educational excellence and preparing students for success in their fields. Position Summary: Adjunct professors are responsible for delivering course materials in a learner-centered environment, engaging students in the learning process, and supporting their academic success. Responsibilities include developing and teaching a range of courses, from introductory undergraduate classes to advanced graduate-level courses in Computer Science. Key Responsibilities: Prepare syllabi and develop curricula to meet course requirements and student learning outcomes. Deliver engaging and effective instruction. Provide timely and constructive feedback on assignments and exams. Submit midterm and final grades, attendance records, and other required reports. Communicate consistently with students, faculty, and administrators. Required Qualifications: Master’s degree in Computer Science or a related field. Teaching experience in a relevant subject area. Preferred Qualifications: PhD in Computer Science. Experience teaching diverse student populations. Familiarity with online and remote teaching tools. Application Process: To apply, please submit a letter of interest and resume. Applications will be reviewed on a rolling basis until the positions are filled. Wentworth Institute of Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Inclusive Excellence at Wentworth Wentworth Institute of Technology is committed to diversity, equity, and inclusion in all University programs and activities. The University does not discriminate based on race, color, national origin, sex, sexual orientation, religion, disability, age, genetic information, gender identity, veteran status or any other category protected by law. All qualified applicants will receive consideration. To find out more about the Wentworth’s commitment to Diversity, Equity and Inclusion, please visit the website https://wit.edu/about/diversity . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu .

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of Computer Vision solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies. Key Responsibilities Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training. Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks. Integrate and improve Computer Vision algorithms to work with other models such as LLMs Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. Write up results in design documents, technical reports, and papers for publication. Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation. Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives. Academic Qualifications Minimum : Master’s in Computer Science, a related technical field, or equivalent practical experience. Preferred : PhD or equivalent research experience in Computer Vision Professional Experience- Minimum Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision). Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation. Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms. Excellent problem-solving and troubleshooting skills to address complex technical challenges. Effective communication and collaboration skills to work with cross functional teams. Ability to effectively navigate ambiguity. Professional Experience- Preferred Knowledge of modern deep learning techniques and Generative AI for photography Experience leading research efforts and influencing other researchers. Experience with efficiency, modularity or related topics for LLMs. Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile). Experience in innovative research, contributing to research communities including publishing in forums (e.g., ACL, EMNLP, NAACL, EACL, COLING, ICLR, AAAI, NeurIPS). $150,000 - $450,000 a year Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include *Comprehensive medical, dental, and vision benefits *Bonus *401K Plan *Generous paid time off, sick leave and holidays *Paid Parental Leave *Employee Assistance Program *Life insurance and disability

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 Computer Vision Engineer to design and implement cutting-edge computer vision systems. Your work will focus on in-cabin scenarios, including, but not limited to: detection and classification of occupants and objects, understanding and analyzing human actions and behaviors, and perceiving in-cabin ambience. Key Responsibilities Design multimodal (image/video/text) models using state-of-the-art machine learning and neural network algorithms. Create and curate training datasets; iteratively refine data based on model performance and project requirements. Implement and optimize distributed training frameworks to accelerate model development. Collaborate with deployment teams to enable efficient edge and on-device model deployment. Stay current with academic research and integrate novel algorithms into production workflows. Coordinate cross-functional efforts across teams and departments. Minimum Requirements Master’s or Ph.D. in Computer Science or a related field, with strong expertise in computer vision and machine learning. Hands-on experience in model development (CV/VL models) and algorithm optimization. Proficiency in PyTorch or TensorFlow, and experience with data preprocessing techniques. Strong collaboration and communication skills. Ability to read, interpret, and implement research papers effectively. Preferred Qualifications Experience coordinating across multiple teams. Familiarity with large-scale model pretraining, quantization, or distributed training. Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) or contributions to open-source projects. Experience with edge device deployment or applications in autonomous driving.   The base salary range for this full-time position is $215,280-$364,320 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.

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.