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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.

About The Opportunity This Computer Support Analyst II position is located in Chicago, IL 60603 of the United States. Netrix Global, award-winning provider of cybersecurity and end-to-end IT services, seeks a Computer Support Analyst II , you will play a crucial role in providing technical assistance and support to our clients and internal teams. You will be responsible for diagnosing and resolving hardware and software issues, configuring computer systems, maintaining and upgrading software applications, and ensuring the overall functionality of IT systems. How You Will Make An Impact Provide technical assistance and support for incoming queries and issues related to computer systems, software, and hardware. Install, configure, and maintain hardware and software components of computer systems. Troubleshoot and resolve technical issues related to operating systems, networks, applications, and peripherals. Perform regular upgrades to ensure systems remain updated and secure. Collaborate with IT teams and vendors to ensure seamless integration and operation of systems. Create and maintain technical documentation and manuals. Train end-users on new hardware and software applications. Conduct remote troubleshooting when necessary. Ensure all IT equipment complies with organizational policies and procedures. Maintain confidentiality and security of all company and client information. What You Will Bring To The Table 2 plus years of proven experience as a Computer Support Analyst or similar role. Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Strong knowledge of computer systems, hardware, and software applications. Proficiency in troubleshooting technical issues and providing timely solutions. Excellent communication skills, both verbal and written. Ability to work independently and collaboratively within a team environment. Strong analytical and problem-solving skills. Relevant certifications (e.g., CompTIA A+, Microsoft Certified IT Professional) are a plus Interaction Daily interaction with client management and employees. Impact Computer Support Analyst interacts with customers on a regular basis and needs to maintain a positive and professional attitude always. About US At Netrix Global our values are the philosophies and principles that we live by. They support our vision, help us achieve our goals and commit us to a common purpose. We Own Outcomes, Win Together, Make An Impact, Enjoy The Journey, and Respect All! Netrix Global is a mission-driven organization with the goal of providing the people, processes, and technology needed to run and scale modern, data-driven businesses that are always on and always secure. Our breadth of capabilities allows us to provide holistic offerings that solve even today's most complex business challenges, delivering to you an integrated, optimized, and future-proof solution. We work with clients of all sizes and specialize in solutions for healthcare, manufacturing, government, education, financial services, and legal industries. Netrix is consistently ranked in the CRN VAR500, detailing the country's top system integrators. At Netrix, we're driven to solve business problems with innovative technology solutions. We focus on end-users and are committed to client satisfaction. What You Can Expect From Us We offer a competitive compensation package, comprehensive group benefits to meet the needs of you and your family, flexibility, and time off when you need it, and a casual work environment. 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. As part of this commitment, we will ensure that persons with disabilities are provided with reasonable accommodations. If you need reasonable accommodations, please let us know by contacting NetrixHR@Netrixglobal. To learn more about Netrix Global please go to www.netrixglobal.com

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Digital Technology Initiative - Electrical and Computer Engineering Faculty SearchUniversity of Miami: College of EngineeringLocation: Coral Gables, FL Job Summary The College of Engineering (CoE) at the University of Miami (Coral Gables, FL) invites nominations and applications for full-time, tenure-track faculty positions at the rank of Assistant, Associate Professor or Full professor with background and expertise in areas including but not limited to Physical Electronics and Integrated Circuits (e.g., nanotechnology, quantum computing, novel circuits and devices for sensing, learning, inference, and computing/communication), Novel Computing Hardware and Systems (e.g., Hardware designs for AI/ML, energy-efficient designs, GPUs and HPC), Data Science/AI/Machine Learning (e.g., fundamentals, trust and explainability, LLMs,autonomous systems, computer vision), Security (e.g., fundamentals, hardware/software/network security, AI for security, software engineering and security). Preference will be given to mid-career faculty applicants, and those with a degree in Electrical Engineering, Computer Engineering or Computer Science. Joint appointments with other departments in the College are possible. The University of Miami (UM) is considered among the top tier institutions of higher education in the U.S. for its academic excellence, superior medical care, and cutting-edge research. At the U, we are committed to attracting a talented workforce to support our common purpose of transforming lives through teaching, research, and service. Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity and Teamwork (DIRECCT) we strive to create an environment where everyone contributes in making UM a great place to work. We are one of the largest private employers in Miami-Dade County; home to more than 13,400 faculty and staff from all over the world.QualificationsCompetitive candidates must possess a Ph.D. in Computer Engineering, Computer Science, Electrical Engineering or closely related discipline and work collaboratively to advance the strategic initiatives of the College. The candidate will advise both M.S. and Ph.D. students and develop a high-quality and productive sponsored research program. Competitive candidates will have a significant record of academic accomplishments, a demonstrated ability to work collaboratively, a commitment to inclusive excellence, and a willingness to expand disciplinary boundaries to address complex technical and societal grand challenges. The faculty member will have the opportunity to advance strategic initiatives of the College, and build collaborative efforts with other faculty and corporate partners. ApplicationFor full consideration, please upload one single file, max. 5MB with the following; Cover Letter (discussing your expertise and anticipated contributions at the University of Miami)Current Curriculum Vitae Research StatementTeaching Statements (including teaching philosophy, teaching experience, commitment to effective learning, and, for the senior position, concepts for new courses) Contact Information (including email and phone numbers, for at least three references) If the file size is larger or you need any technical help with uploading the file(s), please contact Samara Alfonso at coesearch@miami.edu.Initial screening of applications will begin immediately, with hires expected for Fall 2025 or at a later convenient date. If you have any questions, please feel free to contact the Chair of the Search Committee, Dr Manohar Murthi at mmurthi@miami.edu The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Faculty

As the top tier artificial intelligence computing company, we are paving the way with innovations in self-driving cars, machine learning, super-computing, gaming, and visualization. We are building a team that will truly change the world and would love for you to join us. We are seeking a senior system software engineer to design and code computer vision software and help create the SDK for our Programmable Vision Accelerator (PVA) engine in the Tegra SoC platform. You will join a team of skilled software developers in crafting highly optimized computer vision, signal processing and machine learning algorithms for specialized DSP hardware. You will also help other internal and external customers to efficiently develop or map and optimize complex algorithms on the PVA’s VLIW/SIMD hardware. And you will also enhance the PVA SDK which enables others to develop for the PVA. We seek engineers with excellent leadership, communication, interpersonal, and analytical skills as well as a real passion for computer vision. What you will be doing: Develop and improve the SDK for internal and external customers who are developing on the PVA. Develop and Optimize Algorithms to efficiently run on PVA. Work with internal and external customers to help them develop and optimize algorithms on the PVA. Provide technical leadership through your software development experience. Help set technical direction and feature set for the PVA SDK. Write effective, maintainable, and well-tested code. Enable automated testing. Collaborate, learn, and grow skills with NVidians. What we need to see : Bachelor's or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science or related field (or equivalent experience). 8+ years of work experience writing high-performance software. Consistent record of developing high-performance computer vision, image processing, radar and lidar signal processing software on DSPs, GPUs and/or CPUs. Expertise in low-level (e.g., using VLIW/SIMD intrinsic, fixed-point math, numerical approximations) and high-level (parallelization) algorithm optimization. Strong software development skills in C and C++, including low-level debugging and performance profiling. Experience with Linux-based or QNX development environments. Ability to write clear technical documentation. Strong communication and interpersonal skills. Ways to stand out from the crowd: Experience in computer vision, image, radar and lidar signal processing. Experience in programming DSP, SIMD or VLIW processors. Background with ISO 26262 and IEC 61508 or equivalent quality/safety processes. Understanding of software safety and safety development processes. Consistent track record to effectively guide and influence in a technically strong multifaceted environment. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Description Delaware Nation Industries (DNI) is on the lookout for a Computer Network Defense Analyst to deliver proactive cybersecurity monitoring and incident response support for the CAOC-X environment. The chosen candidate will be vital in safeguarding the security framework of DoD systems by identifying, analyzing, and addressing cyber threats and vulnerabilities across a variety of classified and unclassified networks. Requirements Monitor and analyze information systems and network activity to detect cyber events, incidents, and potential threats. Assist with integrated cyber defense operations, including real-time threat detection, response, and containment. Support the coordination, implementation, and maintenance of security tools that enable continuous monitoring and ongoing authorization. Establish frameworks to assess and quantify cyber risks. Ensure compliance with applicable cybersecurity standards, policies, and procedures. Conduct incident response investigations, document findings, and recommend mitigation strategies. Provide cybersecurity training and awareness programs for CAOC-X personnel. Maintain Authorization to Operate (ATO) status in accordance with the Risk Management Framework (RMF) lifecycle. Apply security lockdowns and hardening measures on CAOC-X systems in alignment with JTF-GNO and SPO directives. Coordinate cybersecurity efforts with the 10th Intelligence Squadron (10IS) for JWICS-connected systems. Technical Expertise Required: Proficiency in Windows and Linux operating systems Experience with vulnerability management tools such as ACAS and ESS/HBSS Familiarity with SPLUNK for security information and event management (SIEM) Understanding of Cisco IOS/NX-OS network devices and configurations Strong understanding of cyber defense principles and incident response techniques Clearance : TS/SCI Education and Experience Requirements: A Bachelor’s degree in Computer Science, Information Systems, Engineering, or a similar discipline along with 3 to 5 years of relevant experience; or 5 to 7 years of pertinent experience in place of a degree. Benefits Covers 100% of employee benefit premiums, including Medical (PPO or HDHP Option), Vision, Dental Matching 401K Short- and Long-Term Disability Pet Insurance Professional Development/Education Reimbursement Parking and Transit Benefits for NY, NJ, ATL, and DC Metro areas Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

The Webb School of Engineering at High Point University is seeking part-time Adjunct Instructors in Electrical and Computer Engineering. We are looking to fill sections of Electrical and Computer Engineering courses on an as-needed basis. Successful applicants will be assigned a section for the upcoming session or be placed into our pool of adjuncts for future consideration. Teaching responsibilities will include lectures and labs in a variety of areas of the discipline, with particular interest in power and controls. Other duties include promptly communicating with students, meeting with students as necessary to facilitate learning, and collecting assessment data necessary for the ABET accreditation process. QUALIFICATIONS: Education A minimum of a master’s degree in electrical or computer engineering, or a closely related field is required; a Ph.D. and college-level teaching experience are preferred. Relevant industrial experience is also regarded as desirable. Applications should include the following items, submitted as a single document: (i) a cover letter addressing qualifications and interest in the position, (ii) curriculum vitae, (iii) an unofficial transcript with the highest awarded degree, and (iv) names and contact information for three professional references. At least one reference should be able to address the applicant’s potential or experience in teaching. For additional information, please contact Dr. Claire L. McCullough, Chair and Professor, Electrical and Computer Engineering, at cmccullo@highpoint.edu . Apply online at https://highpoint.wd1.myworkdayjobs.com/Highpoint-Faculty . High Point University does not sponsor H1-B Visas for part time positions. High Point University prohibits discrimination on the basis of race, color, national or ethnic origin, religion, sex, sexual orientation, gender identity or expression, age, disability, genetic information or veteran status and other legally protected statuses. The University encourages all applicants to apply.

Base Pay Range: $124,100.00 - $211,000.00 Annually Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The RAPID division is the world leading provider of reticle inspection solutions for the semiconductor industry. The company provides inspection solutions to both the mask shops and the semiconductor fabs to ensure that lithography yields are consistently high thus enabling cost-effective manufacturing. Job Description/Preferred Qualifications KLA is seeking a motivated individual for an engineer position in elite algorithm group within the reticle product division (RAPID). This individual will apply their skills in image processing, computer vision, mathematics, and software engineering to develop algorithms to be coordinated into KLA's innovative inspection platforms. Responsibilities of this position include: develop optical imaging modeling/calibration, and/or develop image segmentation, classification or detection algorithm for the KLA inspection systems. This requires abstracting specific tasks into generic mathematic problem and finding customized algorithm solutions. This person is encouraged to bring forward creative ideas, develop production code and provide support as needed. This candidate shall be able to work independently and provide recommendations to hardware group on image quality and error budget base on algorithm design and performance. Significant experience in C++ production software development and object-oriented programming is critical. The candidate is encouraged to have excellent problem solving and communication skills. Minimum Qualifications PhD or MS or Bachelor in EE, Computer Science, Applied Math or related field Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are We are seeking a Senior Machine Learning Engineer to play a key role to join our growing team. As a key member of the Advanced Technologies team, you will play a critical role in designing, developing, and deploying state-of-the-art computer vision and recommendation models that power our core products and solutions. Your work will involve tackling challenging problems in object detection, tracking, OCR, video analytics, and multi-modal systems. This role involves a unique blend of technical expertise in data and machine learning, innovative thinking, and a passion for data-driven solutions. What you'll do Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, itracking, OCR, image search, and scene understanding Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment Optimize models for performance on various hardware platforms, including CPUs, GPUs, and edge devices Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives Mentor junior team members, providing technical guidance and fostering professional growth Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learning What we're looking for MS or PhD (preferred) in Computer Science, Engineering, or a related field, or equivalent work experience 5+ years of hands-on experience in machine learning and computer vision, with a strong track record of deploying models into production Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT) Strong experience with model optimization (e.g., quantization, pruning) and deployment on various platforms (cloud, edge, or mobile) Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes) Proven experience in building and maintaining data pipelines (e.g., Airflow) Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins) Excellent communication skills, capable of presenting complex technical information clearly While not required, these are a plus: Experience with C++ is a plus Experience in high-growth, innovative environments is a plus Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS) are a strong plus When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-NM1 #LI-Onsite Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

SMX is seeking a skilled advanced level Computer Network Support Specialist to be part of our Information Technology Team supporting NAWCAD at Patuxent River, MD. The position encompasses tasks to analyze, test, troubleshoot and evaluate information networks including LAN, WAN, intranet, extranet and other data communication networks. Essential Duties and Responsibilities: Evaluation and analyze existing networks and equipment including performance, health, and security compliance and mitigations Test existing network connections Troubleshoot networks and communication transport path issue reported Required Skills: Clearance Required: Top Secret, Secret to start. The Applicant selected may be subject to a security investigation and must meet eligibility requirements for access to classified information Bachelor's degree in a relevant discipline Must be able to interact with peers, management, and senior engineers in a constantly evolving environment to ensure a positive customer experience and atmosphere in the workplace 7+ years of related experience required DoD 8570 compliant (IAT Level 2) (Examples of minimum acceptable certifications-CCNA Security, CySA+, G SEC, Security+ CE, SSCP) Desired Skills: Past DoD IT experience #cjpost At SMX, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

Title: National Security Solutions (NSS) Electrical Engineering and Computer Engineering Internship Who We Are KBR Government Solutions delivers full life cycle professional and technical solutions that improve operational readiness and drive innovation. Our solutions help ensure mission success on land, air, sea, space and cyberspace for the Department of Defense, Intelligence Community, NASA and other federal agencies. KBR's areas of expertise include engineering, logistics, operations, science, program management, mission IT and cybersecurity. KBR strives to create a safer, more secure and sustainable world by bringing together the best and brightest to deliver technologies and solutions that help our customers accomplish their most critical missions and objectives. The Mission Ahead This role is with KBR's Government Solutions U.S. division. At KBR Government Solutions, we don't just envision a world that's safer, more secure, and sustainable - we create it. Our legacy of delivering advanced full life cycle professional and technical solutions is matched only by our commitment to operational readiness and innovation. As stewards of critical missions for the Department of Defense, Intelligence Community, NASA, and other key federal entities, we excel in engineering, logistics, operations, science, program management, mission IT, and cybersecurity. United in our quest for excellence, KBR stands at the vanguard, ready to transform possibilities into impactful realities for a better tomorrow. Why Join KBR? Mentorship from experienced subject matter experts Cutting edge projects, relevant to real world challenges Work in a collaborative and dynamic team environment Networking opportunities with other technologists and executives Competitive pay and great company culture As a National Security Solutions Intern, you will: KBR is looking for highly motivated rising Juniors, Seniors and Graduate students seeking business, engineering, and software development opportunities that provide challenging and meaningful work experience to be a part of our 2025 Intern class. Provides technical support in engineering, science, IT or related field working in such areas as research, design, development, testing, or manufacturing process improvement. Performs simple routine tasks under close supervision or from detailed procedures. Work is checked in progress or on completion. Technical adequacy of routine work is reviewed on completion; non-routine work may be reviewed in progress. Working towards graduate degree. Ability to interpret complex information in a non-technical and engaging manner. Identify problematic areas in data and conduct the necessary research to provide a lasting solution. Selected interns for this paid opportunity will be provided with the opportunity to mentor with experienced professionals, gain experience and establish a name for themselves in this high demand career field. Anticipated Skill Set: Experience with Python, MatLab, C++, Java or similar coding languages. Learn and apply state-of-the-art scientific coding practices Perform validation and regression testing of new and existing MATLAB scientific code Experienced with Microsoft Excel Major field of study: Electrical Engineering, Computer Engineering, Computer Science, or any other scientific/engineering/technical degree with appropriate experience. Scheduled Weekly Hours: Average 40 hours per week. Basic Compensation: $19.00 - 31.00 per hour The offered rate will be based on the selected candidate's knowledge, skills, abilities and/or experience and in consideration of internal parity. Requirements: Must be a US Citizen Must pass a Security Pre-Screen and have the ability to obtain a security clearance. We Deliver- Together. Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver- Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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: $45,500 - $57,000 - $68,500 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 1997-2025, 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.

Founded in 2017, percipient.ai utilizes state-of-the-art research in Computer Vision, Artificial Intelligence, and Deep Learning to develop cutting-edge tools that bridge the gap between AI and human understanding. We pride ourselves on maintaining an inclusive and collaborative work environment that enables each individual to grow while having a meaningful impact on national security. Join our team today. Percipient is currently seeking to hire multiple computer vision scientists with varying levels of experience. Responsibilities: Work on highly impactful computer vision and machine learning problems our customers face. Develop and productize computer vision algorithms drawing upon computer vision literature and using your own ingenuity. Collaborate with engineering and product teams to create solutions. Requirements: Ph.D. in Computer Science or Electrical Engineering with a focus on computer vision. 5 years of industry experience, building and shipping computer vision systems. 2 years of hands-on experience with deep neural network based methods. Experience with object detection, classification, and tracking Strong software development skills. US citizenship required due to federal requirements. Nice to have: 8+ years of relevant work experience. Strong publication record in major CV conferences like CVPR, ICCV, etc. Experience building real-time computer vision systems. Experience architecting and tweaking deep neural networks for solving targeted problems. Very strong proficiency in programming (ideally C++ and python) $155,000 - $300,000 a year Our salary ranges are determined by role, level, and location. The range displayed reflects the average minimum and maximum target for new hire salaries for the position across all 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 assessed level and location during the hiring process. We want the best for all of our employees and go out of our way to provide top-tier benefits. Join our team to receive: ● Substantial Equity ● Unlimited Flexible Time Away (FTA) ● 401k Matching ● 90% Employee Medical Premium Coverage ● 65% Dependent/Family Medical Premium Coverage ● Flexible Spending Accounts ● Employee Referral Program ● Lunches & Snacks ● Commuter Benefits ● Life Insurance ● Travel Assistance ● And more Percipient.ai is a proud equal opportunity employer and we are committed to hiring and supporting a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We hire talent located within a daily commutable distance to our office in Santa Clara, CA. We believe in the benefit of a highly collaborative in-office culture, so plan to be in the office 3-4 days a week. Selected candidates need to pass a third-party background check verifying employment, education, and criminal history before starting. Additionally, US citizenship will be verified. At this time, we are not accepting unsolicited submissions from agencies. Thank you.

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

Description Electronics Technician - AEGIS Computer Equipment Yokosuka, Japan About Us: JSL Technologies, Inc. (JSL) is a certified Small Disadvantaged Business (SDB) and Veteran-Owned government contractor providing engineering, logistics, and program support services to the Department of Defense (DoD). Our team of over 300 employees is committed to delivering practical, innovative, and affordable solutions. We are headquartered in Oxnard, CA, and provide top-tier services across the nation. JSL fosters an inclusive environment of diverse, ethical, committed, and highly accomplished professionals who respect each other, hold themselves accountable, and continually strive for improvement. We offer a competitive salary and a comprehensive benefits package. Job Description: This position provides Aegis Computer Network (ACNT) technical Aegis Weapons System (AWS) support in Yokosuka, Japan. The successful candidate will provide technical services supporting the accomplishment of significant engineering and technical efforts relative to the investigation, analysis, evaluation, and correction of the design, implementation, and technical documentation for the following: Mission Critical Enclosure/Common Processing System (MCE/CPS) Aegis LAN Network Interface System (ALIS) Aegis Display System/Common Display System (ADS/CDS) Processing and Conversion Equipment Peripherals Operational Readiness System Aegis Combat Training System Battlefield Tactical Trainer Video Projection, Distribution and Display Cameras and Television Systems Aegis Weapon Systems (AWS) interfacing for BL10, BL9, BL7.2, and the Legacy baselines. Serves as technical expert and consultant for PHD NSWC in the areas of design, evaluation and analysis of both current and advanced baseline developmental Aegis computers Equipment. Provides technical, guidance and advice over a wide range of complex and critical issues relative to test, evaluation, installation, integration and maintenance of the operational effectiveness and fleet readiness of the Aegis computers equipment used in the CG 47 and DDG 51 class ships. Assists in the preparation for equipment readiness: Knowledge, documentation, support test equipment The introduction of Advanced ACS baselines into the fleet ADS, ADS networks and LANs, Advanced Aegis computers, CDS/CPS for all Baselines. Assists in reviewing complex engineering problems reported in messages, Casualty Reports (CASREPs), Technical Feedback Reports (TFBRs), and Technical manual Deficiency / Evaluation Reports (TMDERS), and 4790/2K. Supports the development of interim modifications, technical bulletins, messages, feedback response letters, ECPs, SCDs, Ordnance Alterations (ORDALTs), messages, or test plans. Requirements Minimum Qualifications: Must be a U.S. citizen Must have an active U.S. Security Clearance level Secret Minimum five years' experience with Baseline 9 AEGIS ships as an ACNT FCA. Ability to conduct fault detection/fault isolation procedures and perform Planned Maintenance System (PMS) procedures for Aegis computer equipment Familiarity with hardware, software, and network test equipment used to troubleshoot failures Capable training crew when on maintenance and troubleshooting of Aegis Weapons Systems elements Travel may be required over 10 percent of the time Must be in physical condition to embark on a U.S. Navy ship underway High School Diploma or equivalent Microsoft Office (Office, Word, Excel, PowerPoint) Preferred Qualifications: Identify and resolve Aegis equipment and documentation discrepancies Execute Aegis computer Planned Maintenance System (PMS) Experience with any AEGIS BL10, BL9, BL7.2, and the Legacy baselines. Knowledge of, or experience in, troubleshooting and maintaining other equipment areas of the AWS to include displays, LAN, FCS, VLS, etc. Familiarity with Fleet Operations and Chain of Command. Expertise in U.S. Navy shipboard customs and courtesies. Security Clearance: Applicants must have an active security clearance and/or the ability to obtain and maintain a US government security clearance as specified in the minimum qualifications. Selected candidates will be subject to a government security investigation and must meet eligibility requirements to obtain a DoD government-granted security clearance. Individuals will be subject to a background investigation to include but not be limited to, criminal history, employment and education verification, drug testing, and creditworthiness. EEO: JSL Technologies, Inc. is an equal opportunity employer. All applicants are considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed must be representative of the knowledge, skills, minimum education, training, licensure, experience, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Please contact HR@jsltechinc.com if you need accommodation for the application process.

Apply Job Type Full-time Description LifeSouth Community Blood Centers is currently seeking an individual to join our team as a Computer Support Specialist in Gainesville, FL. The Computer Support Specialist (CSS) is the first point of contact for supported users having technical questions or issues with a variety of standard and proprietary software applications and hardware products. The CSS handles calls and email, troubleshoots and documents issues, and provides resolution or escalates to the next tier of support as appropriate. Excellent customer service and taking ownership of issues are key elements of the position, demonstrated by research, monitoring escalated items and providing updates to supported users through resolution. This is an on-site position. Attendance is a requirement for this position. If you meet the requirements and enjoy working in an engaging, fast-paced environment, please submit a detailed resume, cover letter, and certification validation. Incomplete applications will not be considered. Our Benefits Generous Paid Time Off (PTO) Medical, dental, and vision insurances available to full-time employees the first of the month after 60 days Supplemental insurances including life, cancer, accident, and disability Access to mental wellness resources and counseling through telehealth Free basic life insurance for full-time employees Holiday premium paid on certain holidays Health Savings Account (HSA) with employer match each pay period Employer funded retirement plan for vested employees & 403b offered Access to wages prior to pay day Call Handling and Documentation Answer internal and external customer calls and email in accord with internal service levels and standards Document issues accurately and in detail in the help desk ticketing application. Follow established processes and standards for opening, updating, assigning and closing tickets Notify management of potentially dissatisfied internal or external customers Monitor call queues, email and voicemail to ensure prompt answer and follow up Explain technical details in a plain, clear and simple manner Troubleshooting, Escalation and Resolution Use issue identification and troubleshooting methodologies to advance issues toward resolution Utilize knowledge base, print and online documentation Contribute information and solutions to the knowledge base, update documentation and share insight with the support team Aim for resolution of customer problems. When not possible, fully document and escalate to the appropriate person or team Daily Workflow Monitor, research and follow up on open tickets Provide end users and customers with status updates on open tickets Maintain knowledge and proficiency with supported applications and platforms Participate in help desk and client training sessions Skills, Education and Experience One to two years of experience in a help desk, deskside support or call center computer support environment IT and/or help desk certifications (MCP or CompTia A+) required Experience with ticketing applications and call center applications College or technology school degree preferred Strong technical troubleshooting and customer service skills Strong verbal and written communication skills Technical proficiency with common hardware, software and technologies: Windows, Office, iOS, laptops, tablets, WiFi, peripherals, etc. Preference will be given to individuals who have higher level certifications tracking towards server or network support, or extensive related experience. Who We Are LifeSouth is a non-profit community blood bank serving more than 150 hospitals in Alabama, Florida, Georgia, and Tennessee. We are committed to meeting the blood supply needs of hospitals and their patients by providing the highest quality blood components and services. With more than 45 donor centers, 55 bloodmobiles and 2,000 blood drives a month, our LifeSouth team is dedicated to making sure the blood is there when you or your family is in need. Our Mission To provide a safe blood supply that meets or exceeds the needs in each community we serve, and to provide a variety of services in support of ongoing and emerging blood and transfusion related activities. If you meet the requirements and enjoy working in an engaging, fast-paced environment, please submit a detailed resume, cover letter, and certification validation. Incomplete applications will not be considered. This is a full-time position. Starting salary is $20.00 - $22.00 per hour. Criminal background check and drug screen required upon conditional offer of hire. Equal Opportunity/Affirmative Action Employer/Drug-Free/Tobacco Free Workplace. The position description may not include all the duties and responsibilities of the job. Duties and responsibilities that are not listed, but which the employee may be expected to perform, will fall within the scope of the skills, knowledge and training for the position. LifeSouth is a Drug-Free and Tobacco-Free Workplace. LifeSouth is a VEVRAA Federal Contractor as well as an affirmative action employer and provides equal opportunity to all persons, regardless of race, religion, age, gender, disability, status as a protected veteran, national origin, color, or any other classification in accordance with federal, state, and local statutes, regulations, and ordinances. Veterans are encouraged to self-identify as LifeSouth desires to provide protected veterans priority referrals for open positions. LifeSouth complies with all laws and regulations associated with the Family Medical Leave Act (FMLA) and the Americans with Disability Act (ADA). LifeSouth is an E-Verify employer. If you require any assistance to complete the application process or during the interview due to a disability, please contact the LifeSouth region where you are applying or call 1-888-795-2707 to request an accommodation. Applications may be completed at a LifeSouth facility or mailed to corporate headquarters in lieu of the on-line application process.

What You Will Do: As a Cryptologic Computer Scientist, Level 3 at Independent Software, you will bring advanced computer science and software engineering expertise to some of the nation's most complex technical challenges. We are a mission-first company where talented engineers are empowered to own their work, innovate with autonomy, and directly support national security outcomes. If you are looking for a role where your technical contributions drive real impact within a collaborative, high-performing team, this is the place for you. In this role, you'll work at the intersection of software development, data science, and mission analytics. You will support a senior Data Science lead in designing and building analytics platforms, developing tools to process and model large datasets, and creating scalable solutions that support national security efforts. Your experience in data-driven systems, algorithm development, and analytic pipelines will be key in enabling advanced cryptologic and cybersecurity missions. You will apply a scientific and mission-focused approach to design, develop, and deliver solutions in areas such as forensics, attack attribution, critical network protection, and penetration testing. Your work will enable state-of-the-art cryptologic and cybersecurity missions, providing the tools and techniques necessary to protect critical systems and uncover adversary tactics. Key Responsibilities: Collaborate closely with a Data Science Lead to build and support advanced analytics pipelines and data models Design, develop, deliver, and operate solutions to complex cryptologic computer science problems Apply software engineering best practices to mission-driven data science challenges Develop scalable, secure, and mission-aligned tools that support complex analytic systems Perform advanced tasks in forensics, attack attribution, network protection, warning indicators, penetration testing, and knowledge discovery Conduct analysis, modeling, simulation, and reverse engineering to inform mission outcomes Work with large-scale structured and unstructured datasets to uncover insights that support national security missions Required Skills and Qualifications: Expertise in operating systems, algorithm analysis and design, programming languages, and data structures Strong software engineering and development skills, particularly for data-driven or analytics-focused systems Significant experience with data science, including data wrangling, machine learning, modeling, and analytic tool development Knowledge of compiler theory, computer architecture, database theory, and discrete mathematics Experience solving problems involving modeling, simulation, reverse engineering, or hardware/software development Ability to work independently and collaboratively in a mission-driven environment Education and Experience: Candidates must meet one of the following: Doctoral degree plus 4 years of relevant experience Master's degree plus 6 years of relevant experience Bachelor's degree plus 8 years of relevant experience Associate degree plus 10 years of relevant experience Additional requirements: Degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or closely related field Must include at least one programming course and four upper-level math courses (Calculus level or higher) Relevant experience must include at least one of the following: Theoretical or applied computer science Modeling or simulation development Algorithm analysis, design, or evaluation Reverse engineering Design, development, or evaluation of computer or information systems (software or hardware) Clearance Requirement: Must possess an active TS/SCI with appropriate Polygraph to be considered for this role Why Choose Independent Software? At Independent Software, our people are the mission. We've built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive. When you join us, you will: Support critical national security missions that matter Be part of a close-knit, employee-first culture where your voice is heard Expand your skills through ongoing training, mentorship, and career development Enjoy competitive compensation, generous benefits, and work-life balance Ready to take the next step in your career? Join us and be part of something bigger. Apply today. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Return to Job Search Field Computer Specialist If you are detail-oriented, relish variety and feel at home around all kinds of technology, consider becoming U-Haul Company's newest Field Computer Specialist. In this role you will be responsible for all computer and security systems in your area, traveling from place to place to maintain equipment and train users. In exchange U-Haul provides excellent perks and benefits as well as a caring company culture. U-Haul offers its Field Computer Specialists: Full medical coverage, if eligible Prescription plans, if eligible Dental and vision plans Registered Dietitian Program, if eligible Gym Reimbursement Program Weight Watchers, if eligible Virtual doctor visits Career stability Opportunities for advancement Valuable on-the-job training Tuition Reimbursement Program Free online courses for personal and professional development at U-Haul University Business-travel insurance You Matter Employee Assistance Program Paid holidays, vacation and sick days, if eligible Employee Stock Ownership Plan (ESOP) 401(k) savings plan Life insurance Critical illness/group accident coverage 24-hour physician available for kids MetLaw Legal Program MetLife auto and home insurance Mindset App Program Discounts on cell phone plans, hotels and more LifeLock identity theft protection Savvy consumer-wellness programs - from health-care tips to financial wellness Dave Ramsey's SmartDollar Program U-Haul Federal Credit Union membership Field Computer Specialist Primary Responsibilities: Maintain maximum uptime for computer systems and associated broadband connectivity. Implement and maintain field computer systems for all entities within the assigned area. Support and train users as needed. Distinguish between user error and problems requiring escalation to other support teams or software vendors. Identify and coordinate solutions for security gaps and compliance issues. Participate in ongoing continuous U-Haul education through U-Haul University Field Computer Specialist Minimum Qualifications: Experience with technologies such as networking, administration, security-monitoring equipment, storage gates, alarm systems, doors, digital video equipment, printers, computers, VoIP, analog phones, air phones and cash drawers Current, valid driver's license and clean driving record Work Environment: The work involves moderate risks or discomforts which require special safety precautions, e.g., working around moving parts, machines, fumes or irritating chemicals. May be required to use protective clothing or gear such as masks, goggles, gloves or shields. Physical Demands: The work requires some physical exertion such as long periods both indoors and outdoors while remaining stationary, traversing spaces, repositioning to reach and use tools, and moving a minimum of 50 lbs assisted or unassisted. U-Haul is an equal opportunity employer. All applications for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state, or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

Sierra Space Careers: Dare to Dream We honor those that are not afraid to dream big dreams, those that tenaciously chase their dreams even when others say it cannot be done, those that achieve big dreams and change everything. Those are Dreams Worth Chasing. At Sierra Space we envision a future where humanity lives and works in space, on moons, and on distant planets. Our mission isn't restricted to the few, instead we see a future where all people can choose to live, work, discover and explore beyond our planet. Our company is building a platform in space to benefit life on Earth and together we will alter the course of humanity. We have a bold mission. We are a bold company. Together, we are an extraordinary team. About the Role A Computer Vision Engineer II leverages advanced programming and machine-learning skills to create and optimize AI software and hardware that utilizes visual data to perform specific tasks or solve problems. This role is crucial for the development and enhancement of RPO (Rendezvous and Proximity Operations) capabilities and solutions for satellites. Key Responsibilities: Develop, implement, and optimize advanced computer vision algorithms and models to process and analyze visual data from visible and infrared imagery. Lead the integration of computer vision solutions into satellite systems, working closely with cross-functional teams. Conduct comprehensive testing and validation of computer vision systems to ensure high performance, accuracy, and reliability. Design and develop sophisticated AI software and hardware for satellite applications, ensuring scalability and robustness. Maintain, improve, and refactor existing computer vision systems and algorithms to enhance performance and functionality. Document code, processes, and methodologies comprehensively for future reference and team collaboration. Mentor and guide junior engineers, providing technical support and knowledge sharing. Stay updated with the latest advancements in computer vision and machine learning technologies and apply them to current projects. Participate in code reviews, providing constructive feedback to peers. Collaborate with product managers and stakeholders to define project requirements and deliverables. About You Our mission is driven by the unwavering passion to push the boundaries of what is possible. We seek those who Dare to Dream - to envision the extraordinary and pursue it relentlessly - to join us on this transformational journey. We're looking for dreamers who align with our values, vision, and audacious goals - while also meeting the minimum qualifications below. The preferred qualifications are a bonus, not a requirement. Minimum Qualifications: Requires a bachelor's degree in a related field (or equivalent work experience in lieu of degree). Typically, 2+ years of related experience. Strong understanding of at least one programming language, and general knowledge of others. Strong understanding of software development principles. Ability to design, code, test, and debug complex software applications. Experience with different software development methodologies such as Agile and Scrum/Kanban. Ability to work independently and in a team. Ability to write and maintain technical documentation. The ability to obtain and maintain a Top-Secret U.S. Security Clearance is required. Preferred Qualifications: Extensive experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch. In-depth knowledge of machine learning algorithms and techniques. Experience with satellite systems or aerospace applications. Proven track record of successfully delivering computer vision projects from concept to deployment. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. Experience with cloud platforms and services for deploying and scaling computer vision applications. Familiarity with hardware acceleration techniques for computer vision tasks, such as using GPUs or specialized hardware. Experience with data annotation and management for training computer vision models. Knowledge of image processing techniques and tools. Compensation Pay Range: $102,960 - $141,750 Your actual base compensation will be determined on a case-by-case basis and may vary based on job-related knowledge and skills, education, experience, internal equity and market competitiveness. Physical/Mental/Emotional Requirements: Frequently walk, sit, stand, climb stairs and steps Frequently repeat same hand, arm, and finger motion many times to include finger and hand dexterity Rarely lifting or carrying up to 20 lbs. Working Conditions: Rarely exposed to outdoor elements (high/low temperatures, sun, rain/snow, etc.) Rarely exposed to fumes or hazardous chemicals/materials Rarely exposed to loud noises IMPORTANT NOTICE: This position requires the ability to obtain and maintain a Top-Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. Citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use. Elevate Your Career At Sierra Space, we are committed to your personal and professional development. We empower you to make profound and meaningful contributions and foster a vibrant culture of collaboration, where teamwork ignites breakthrough innovations. Sierra Space offers annual incentive pay based upon performance that is commensurate with the level of the position. We also offer a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 8%, life insurance, 3 weeks paid time off, and more. At Sierra Space we are at the very doorstep of unlocking the future and the work in front of us is hard, but it is truly important and meaningful. Achieving our mission requires dedication, relentless pursuit of a dream and an unwavering passion for pushing the boundaries to accomplish what others might believe to be impossible. We seek those who too, Dare to Dream and will join us in a pursuit to achieve the extraordinary. Application Deadline: This role will remain posted until a qualified pool of candidates is identified. Please note: Sierra Space does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to Sierra Space team members not through our approved vendor list or Talent Acquisition will be considered property of Sierra Space, and we will not be obligated to pay any referral fees. Sierra Space Corporation is an equal opportunity employer and is committed to working with and providing reasonable accommodations to applicants with disabilities. If you need special assistance or a reasonable accommodation related to applying for employment with Sierra Space or at any stage of the recruitment process, please contact us.

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 Staff 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. 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 $244,140-$413,160, 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.