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Description Today, Electronic Warfare is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Our EW division currently has an exciting opportunity for an Algorithm Software Engineer to perform design, development, and hardware/software integration in San Diego, CA for the Electronic Warfare Division. Leidos is a DOD leader in electronic design and chiplet manufacture. Our division primarily focuses on research & development and advanced prototyping, transforming state-of-the-art processing algorithms into real-time software systems. Projects involve small multi-disciplinary teams of engineers working together in spiral or agile development environments to meet aggressive customer schedules aimed at near-term field demonstrations. Leidos utilizes its proprietary design methodology for hardware software co-design to manufacture custom SoC and IP for high performance applications. In this role, the Algorithm Software Engineer will develop and deploy cutting edge signal processing applications to improve the capabilities of the warfighter in modern electronic warfare environments. This role requires understanding signal processing algorithms and deploying them to massively parallelized pipelines executed to meet extreme real-time requirements on Leidos SoCs. The Algorithm Software Engineer is responsible for interfacing with a diverse set of engineers from signal processing, embedded, and RF teams. Join a team of experts in implementing high-performance signal processing on custom system-on-chip (SoC) hardware and building the tools that enable analysis, rapid prototyping, and deployment of cutting-edge algorithms. The successful candidate will be responsible for: Contributing to design and development of advanced systems as a part of multi-disciplinary teams. These teams are made up of other software team members and subject matter experts from the areas of systems engineering, hardware, firmware, RF front end design, and signal processing. Designing, implementing, and testing C applications in a real-time environment Understanding and analyzing signal processing algorithms developed in MATLAB Porting signal processing algorithms from MATLAB, Python, or C++ to C in a multi-core environment on Leidos SoCs Optimizing C code for DSP applications (i.e. leveraging SIMD, VLIW, or hardware accelerators) and parallel processing to achieve real-time requirements Developing Hardware-in-the-loop (HITL) tests to validate signal processing algorithms Clearly communicating technical details of software to internal and external engineers Supporting system field testing and collection events, usually about a week in duration once or twice a year At Leidos we value passion for learning. If you believe you have what it takes to succeed in this role and are eager to learn, we encourage you to apply. The successful candidate will have the following basic education/experience: Bachelor’s Degree in Computer Engineering, Electrical Engineering, or Computer Science 8+ years of software development experience, including strong experience in C/C++ software development for embedded systems Understanding of linear algebra and probability Strong understanding of basic signal processing (e.g. Fourier transforms, filtering, complex arithmetic) Understanding of hardware-software interaction and basic computer architecture Experience in MATLAB and signal processing algorithms Experience with build tools such as GCC, CMake, or Make Experience using version control (e.g. git, Subversion, etc.) and continuous integration software tools (e.g. Jenkins) Experience with software testing tools and methodology Experience in creating and maintaining technical documentation for developed software Ability to communicate and share ideas, concepts, and designs with a team of engineers Comfortable working in Linux development environments Demonstrated ability and motivation to continually learn new technical skills and concepts Must have active Secret level security clearance with the ability to obtain a TS/SCI. Bonus education/experience: Master’s Degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent and 6+ years of experience Active security clearance at the Secret level or higher Experience with other programming languages such as MATLAB, or equivalent OOP language Experience with parallel processing (e.g. SIMD, VLIW, distributed computing) Experience with RF signal processing or related applications Experience maintaining, tracking, and updating ticket/status using Gitlab or similar interface NKE ElectronicWarfare If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. March 5, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Unleash your curiosity. Solve what others can’t. At Leidos, we’re not just writing code—we’re decoding the unknown. Our San Diego research and engineering team tackles some of the most complex challenges in national defense using advanced signal processing, ocean remote sensing, and high-performance computing. We’re looking for a Software Engineer / Computer Scientist who thrives on solving hard problems and pushing the boundaries of performance. You’ll join a cross-disciplinary team of scientists and engineers—experts in hydrodynamics, physics, acoustics, and signal processing—to build high-impact software that extracts meaning from massive, complex data sets. If you’re driven by innovation, energized by collaboration, and ready to see your algorithms power real-world missions—you belong here. What You’ll Do Collaborate with scientists and engineers to design, implement, and optimize advanced algorithms that power next-generation radar, optical, and infrared sensor systems. Engineer high-performance backend systems for scientific computing and distributed environments. Integrate, refactor, and optimize scientific codebases, ensuring scalability and efficiency. Translate and enhance existing code for GPU/CUDA acceleration and parallel/distributed execution. Test, document, and evolve complex software in a Linux/Unix environment. Work in a collaborative environment that values technical rigor, creativity, and growth. Required Qualifications Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or related field with 6+ years of backend software development experience; or Master’s with 4+ years. Equivalent experience may be considered in lieu of degree. U.S. citizenship and ability to obtain a Top Secret clearance (active TS preferred). Demonstrated expertise in C/C++ backend software development, including large-scale, performance-critical applications. Proven experience with high-performance computing, parallel/distributed processing, and standards such as MPI. Hands-on experience with GPU/CUDA programming and optimization. Experience with AI/ML and LLM concepts and algorithms Strong foundation in advanced mathematics or physics, with the ability to translate theory into functional code. Proficiency in Linux/Unix development environments. Familiarity with scientific programming, algorithm implementation, and system-level problem-solving. Strong understanding of software engineering principles and best practices. Excellent written and verbal communication and software documentation skills. Preferred Qualifications Active Top Secret clearance Familiarity with Agile development, object-oriented design, and modern software architecture. Experience with Git, GitLab, MATLAB, and Fortran. Knowledge of multi-threaded or shared-memory applications. Why Leidos? You’ll be part of a team that: Combines science, technology, and imagination to solve real-world defense challenges. Values your curiosity as much as your technical ability. Invests in your professional growth through mentorship and hands-on innovation. At Leidos, your code doesn’t just run—it defends, detects, and delivers. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. January 21, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Featuredjob

Description Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Leidos currently has an opening for a Junior Signal Processing Engineer to support EW programs in Arlington, VA or San Diego, CA. As part of our team, you will focus on improving the robustness and efficacy of sensors and signals in complicated environments. More broadly, you will advance the state of the art in research and advanced applications to support ongoing and future EW programs. You’ll simultaneously get to work alongside scientists and experts in these fields to help grow your own knowledge and career. Taking direction from your Team or Task Lead, while working in small groups or individually, you will: Develop, model, and test algorithms in Matlab, Simulink, or C++Analyze results from simulation or real data to identify root causes and trends Plan and perform analytical and engineering research, design development, participate in testing and other technical assignments Basic Qualifications: Bachelors of Science in Electrical Engineering, Physics, Computer Science, Mathematics or related field and 2+ years of experience or and MS and relevant experience Active Secret clearance and eligible to obtain a TS/SCI level clearance US citizenship required Experience with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and languages such as C/C++, Java etc. Working knowledge of scientific programming and algorithm developmentExperience with radar signal processingDemonstrated strong oral and written communicationAbility to work in a team environment, as well as independently Adaptability to new challenges with a strong motivation to grow and learn in new areas Preferred Qualifications: Working knowledge areas such as digital filtering, spectral estimation, detection and estimation theory, linear algebra and stochastic processes Experience working in areas of modeling and simulation (M&S), radar, adaptive radar, signals processing, algorithm development, synthetic aperture radar (SAR) or similar fields NKE ElectronicWarfare If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting:June 11, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $69,550.00 - $125,725.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Are you ready for your next career challenge? Leidos Defense provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world’s toughest security challenges for customers with “can’t fail” missions. The Emerging Space Systems Division at Leidos currently has an opening for a Chief Engineer to work in our San Diego, CA office. This is an exciting opportunity to use your experience to develop novel EO/IR sensors for Space-based missions, including Missile Warning/Tracking, Missile Defense, Space Domain Awareness, and others. In this mission, we design and mature next-generation space-based payloads, transitioning critical technology from laboratory environments to flight-ready hardware. This role focuses on the end-to-end development of prototype optical sensors, bridging the gap between TRL 4 and TRL 7 to ensure mission success in orbital environments. Primary Responsibilities Serve as the primary technical authority for the design, integration, and testing of space-qualified optical sensor systems. Lead multi-disciplinary engineering teams, providing technical direction across mechanical, electrical, thermal, algorithm development, and software engineering workflows. Lead hardware maturation efforts to transition technologies from breadboard validation (TRL 4) through space-qualified prototyping and demonstration (TRL 7). Direct the integration of complex sensor processing algorithms into flight software architectures, ensuring real-time performance and data integrity. Conduct rigorous trade studies and design reviews (PDR, CDR) to ensure sensor performance meets stringent mission requirements for sensitivity, resolution, and SWaP-C. Oversee environmental testing protocols, including thermal vacuum (TVAC), vibration, and radiation hardening, to validate flight readiness. Basic Qualifications Education & Experience: Bachelor’s degree with 12+ years of applicable experience, or a Master’s degree with 10+ years of experience. Additional years of relevant experience may be considered in lieu of a degree. Security Clearance: Must have a Secret security clearance to be considered for the position. Subject Matter Expertise: Must be a Subject Matter Expert (SME) within IR optical or opto-mechanical engineering (e.g., precision mechanisms, optical housing design, or opto-thermal stability). Technical Breadth: Demonstrated working knowledge of associated engineering disciplines, including software development, algorithm maturation, and electrical systems. Space Flight Heritage: Proven track record of leading space-based payload development programs through the full flight qualification lifecycle. Active SECRET clearance with the ability to obtain and maintain a TS/SCI clearance. Preferred Qualifications Space-Based IR Analytical Expertise: Experience leading Radiometric Performance Modeling (e.g., signal-to-noise ratio (SNR) analysis, Noise Equivalent Differential Temperature (NEDT), and stray light suppression studies). Proficiency in Thermal-Optical-Mechanical (STOP) Analysis to predict sensor performance under extreme orbital thermal gradients. Familiarity with Non-Uniformity Correction (NUC) and Bad Pixel Replacement (BPR) algorithm development for focal plane arrays (FPAs). Experience conducting Stray Light and Ghosting Studies using tools like FRED or ASAP to ensure high-fidelity IR sensing against bright backgrounds. Mission-Specific Studies: Leading Jitter and Line-of-Sight (LOS) Stability analyses to ensure sub-microradian pointing accuracy during dynamic maneuvers. Conducting Radiation Effects Analysis (TID, SEE) for cryogenically cooled IR detectors and associated readout integrated circuits (ROICs). Standards & Interfaces: * Deep familiarity with SDA (Space Development Agency) standards and optical communication terminal (OCT) specifications. Experience managing Cryocooler Integration and vibration isolation studies for long-wave infrared (LWIR) or mid-wave infrared (MWIR) missions. Tools: Expertise in specialized design software such as Zemax, Code V, or MATLAB/Simulink for system-level performance simulation. Proficiency in digital signal processing (DSP) or computer vision algorithms related to optical sensing. Expertise in the procurement and management of high-reliability (Hi-Rel) space components and sub-tier supplier technical oversight. Expertise in hyperspectral imaging, seekers, laser communications, or other sensing modalities or missions. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. April 30, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

We’re looking for an Embedded Firmware Engineer who thrives in low-level development, enjoys solving complex hardware–software challenges, and wants to work on products that truly make an impact. In this role, you’ll contribute to advanced embedded products by: • Developing firmware and FPGA logic for next-generation real-time systems, • Participating in architectural and design discussions, • Working closely with application developers to create seamless interfaces between real-time processors and embedded Linux systems, • Mentoring junior team members and guiding technical decisions We’re seeking an engineer with strong hands-on experience in: • Bare-metal / real-time development in C/C++, • Interfacing with FPGA, DDR, Flash Memory, I2C, SPI, RTOS, LVDS, and timing systems, • Hardware-level debugging using tools like JTAG and other diagnostic interfaces Strongly Desired Skills (Big Plus) While not mandatory, experience in any of the following will help you stand out: • FPGA design/development using Xilinx toolset (Verilog preferred), • Experience with Xilinx Zynq, Versal, or Artix SoCs using Vitis/Vivado, • Background in image processing / machine vision (filters, transforms, convolution, etc.), • Algorithm development & performance optimization, • Advanced understanding of Object-Oriented Programming, • Experience with bare-metal microcontrollers and benchmarking

Job DescriptionOur Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots!In this role, you will: • Design and build a scalable, efficient, and robust robotaxis dispatch service., • Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques., • Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems., • Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency., • Integrate optimization algorithms into the robotaxi platform., • Build and use in-house or 3rd-party simulation models to test dispatch optimization algorithms’ effectiveness. Qualifications, • Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field., • Proven experience in algorithm development, with a strong emphasis on operational research methodologies., • Proficiency in programming languages Java or Kotlin, • Solid background in machine learning, AI, operational research, and data analysis., • Passion for learning new technologies, domains, and challenging the status quo., • Strong mathematics skills., • Exceptional problem-solving, analytical, and quantitative skills.Bonus Qualifications, • Experience with GIS and mapping software., • Experience in transportation, logistics, or autonomous vehicles., • Experience in building/using fleet simulation tools., • Ability to lead through ambiguity and work with diverse stakeholders., • Ability to Iterate quickly and efficiently on building end-to-end experiences., • Experience handling large data sets and scaling service horizontally to a large number of users., • Experience developing cloud services and an understanding of design for scalability, performance and reliability., • Knowledge about microservice design patterns and DB access., • Knowledge of engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionABOUT US E-commerce got real-time data infrastructure decades ago. Physical stores still have not. RADAR is changing that. RADAR is building the data infrastructure layer for the physical world, starting with retail. Our hardware-enabled SaaS platform uses proprietary overhead sensors, software, and AI-powered analytics to locate every product in a store, continuously, down to the fixture. We are deployed across 1,400+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale. RADAR is one of the best-funded companies in retail technology, backed by a recent Series B financing at a $1 billion valuation. Inventory accuracy is only the beginning. We believe RADAR can become foundational infrastructure for the physical economy, powering new AI-driven commerce experiences across retail and beyond. Join us if you want to work on a large, unsolved, technically challenging problem with an ambitious team building category-defining technology. OUR VALUES • Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters., • Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together., • High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company., • Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters., • Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work., • Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints., • Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.ABOUT THE JOB We are currently seeking a Senior Systems Engineer to join our team and assist with efforts in modeling, simulating, and improving the performance of PHY and MAC systems. In this role, you will be responsible for identifying and addressing RF, Digital and Channel impairments, collaborating closely with engineers to validate and define performance requirements, and implementing physical layer algorithms. This position demands a strong proficiency in C++ and a deep understanding of wireless communication principles, enabling you to make critical decisions on performance versus implementation complexity. Your work will directly impact the development and optimization of advanced wireless technologies, requiring both innovative thinking and rigorous analysis. Responsibilities: • Define, implement, and simulate physical layer algorithms., • Identify and model system impairments in C++, validate against lab measurements., • Simulate impact of impairments on PHY and MAC layer performance., • Collaborate with engineers to specify system requirements., • Analyze trade-offs between performance and implementation complexity., • Devise and implement test strategies that adequately assess all aspects of the wireless system., • Work with other engineers to troubleshoot and resolve issues., • Document algorithms for Software and RTL Designers.ABOUT YOURequired:, • You have a Bachelor's degree in wireless communications and signal processing., • You have 5+ years of experience simulating end-to-end wireless systems under various RF conditions., • You are familiar with fixed-point design and implementation trade-offs., • You have strong C++ programming skills., • You have strong root-cause analysis skills., • You are able to collaborate with people of different working styles., • You are driven, deadline and detail oriented.Preferred:, • You have knowledge of RFID and sensor technologies and test procedures., • Master's or PhD in wireless communications and signal processing.WHAT YOU'LL DOIn your first 30 days, you will:, • Learn Radar's mission, technology stack and core values., • Complete onboarding and security compliance training., • Understand the fundamentals of Radar's RFID system (RF, PHY, MAC and localization).In your first 60 days, you will:, • Understand how to collect system performance data (lab and/or simulation)., • Take ownership for the development of a low-level performance analysis., • Be able to compile, configure and run the C++ PHY layer simulator.In your first 90 days, you will:, • Complete the performance analysis of a low-level PHY or MAC algorithm in Radar's automated test environment., • Make improvements to the utility of Radar's C++ PHY layer simulator., • Begin the development of a performance improvement initiative. At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $130,000 - $175,000. Individual pay is determined by work location and additional factors, including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan, flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:We are looking for an experienced state estimation engineer to design, develop, and support the deployment of safety-critical navigation solutions for aerospace platforms. This role requires deep expertise in state estimation theory, extensive practical experience implementing ownship navigation systems in the aerospace domain, and strong software development skills for production-quality navigation code. The engineer will design and implement a unified navigation architecture that supports traditional GNSS/IMU fusion while being extensible to all-source navigation strategies incorporating diverse sensing modalities for GPS-degraded and denied environments.What you'll do:Navigation System Architecture & Design: • Establish navigation performance requirements and error budgets for safety-critical applications, • Support decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software components, • Design detailed software architecture for state estimation implementations, including module interfaces and data flow Algorithm Development & Implementation:, • Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approaches, • Implement tightly-coupled and loosely-coupled GNSS/INS integration algorithms, • Integrate diverse sensing modalities (vision, RF, celestial etc.) into multi-sensor fusion framework for GPS-degraded environments, • Develop fault detection, isolation, and recovery (FDIR) strategies for navigation systems, • Implement integrity monitoring and protection level calculations for safety-critical operations Certification & Verification:, • Develop verification and validation test plans for navigation algorithms, • onduct performance analysis including Monte Carlo simulation, covariance analysis, and flight test data evaluation, • Document navigation system design, requirements allocation, and compliance evidence, • Support safety assessment activities including failure modes and effects analysis Technical Leadership:, • Provide technical guidance on navigation architecture and state estimation approaches, • Support trade studies evaluating navigation sensor suites and fusion strategies, • Mentor junior engineers on state estimation theory and implementation Required qualifications:, • MS or PhD in Computer Science, Software Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, or related field 15+ years of experience developing state estimation algorithms for aerospace navigation applications • Demonstrated experience implementing GNSS/INS integration solutions, • Experience with safety-critical system development and certification processes, • Deep understanding of state estimation theory, • Experience implementing multi-sensor fusion algorithms in production systems, • Strong background in inertial navigation, GNSS positioning, and sensor error modeling, • Strong programming skills in C/C++ and Python/MATLAB for algorithm development and analysis, • Understanding of integrity monitoring, protection levels, and safety assessment methods, • Experience with requirements management and verification/validation processes for certifiable systems, • Understanding of GPS/GNSS signal structure, error sources, and performance characteristics, • Knowledge of IMU error models, calibration, and Allan variance analysis, • Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.), • Understanding of navigation performance metrics (accuracy, integrity, continuity, availability), • Must be eligible to obtain a clearancePreferred qualifications:, • PhD in relevant field with focus on state estimation or navigation, • Direct involvement in certified navigation system development from requirements through flight test, • Experience with specialized navigation approaches (vision-aided navigation, terrain-referenced navigation, celestial navigation, etc.), • Publications or patents in navigation or state estimation, • Experience with GPS/GNSS jamming and spoofing mitigation techniques #LI-SM1#LF Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description [About Our Client] The company, founded in 2002 in Seoul, South Korea, is the world leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. Using patented 3D technology, the company provides best-in-class products in Solder Paste Inspection(SPI) and Automated Optical Inspection(AOI) for electronics manufacturers worldwide. [Job Summary] We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines, including quality inspection systems in many different industries, medical equipment, as well as other exciting applications which use 3D imaging technologies and Machine Learning. As a computer vision engineer, you will be using cutting-edge vision and AI algorithms to integrate into robotics systems designed by worldwide teams of software, mechatronics, electronics, physics and optics engineers. (interdisciplinary and collaboration) [Job Description] • Research and develop scalable and cutting-edge computer vision for 3D reconstruction, 2D/3D imaging technologies, camera calibration, object detection, image processing, denoising, segmentation and metrology., • Research, develop and employ machine learning algorithms for solving difficult and exciting challenges., • Engineer solutions for quality inspection equipment, medical equipment, and more., • Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python., • Participate in weekly “Group Genius” activities, where all members take the lead and create ideas, with the mindset that innovation can happen by anyone and anywhere., • Performs other duties as assigned Requirements [Qualifications] • Master’s degree required, • Ph.D preferred, • Experience to Research and Develop to Classical Computer Vision Algorithm, • Experience to Research and Develop Machine Learning, • Experience to Deploy CUDA processing, • C++ code optimization in performance-wise to image processing, • Experience with at least of the programming language C++ / Python / CUDA, • Able to work in US without any Work Visa sponsor/transfer/Extension/ support, now and future Have at least one of the followings: • Computer Vision algorithms and applications, such as 3D reconstruction(structured light, multi-view geometry, etc), object detection, recognition, image processing, and their optimizations for efficient implementation., • Machine Learning, such as CNN/deep learning, shallow learning and their optimizations for efficient implementation on embedded systems, • Algorithm optimization for efficient processing, exploiting parallelism, and GPU, • Experienced in use of Machine learning and computer vision frameworks and libraries such as Tensorflow, Pytorch, Caffe, Torch, OpenCV, etc (>2years), • C++ programming skills, preferably in an embedded environment with GPU and familiar with UML Benefits • No Visa Sponsor, • Salary range : $110-160K, • Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage), • 401(k) retirement plan (Immediately 100% vested), • Generous PTO and paid holidays

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: As a Staff State Estimation Engineer, you will play a critical role on the GNC team, contributing to the development, optimization, and deployment of advanced sensor fusion and navigation algorithms for autonomous UAV operations in dynamic and contested environments. You will help design real-time sensor processing pipelines, integrate multi-sensor data for robust state estimation, and collaborate closely with autonomy researchers, software engineers, and hardware teams to ensure high system performance and reliability. Your work will support the transition of cutting-edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission-critical applications.What you'll do: • Develop and implement real-time state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation methods for GPS-denied or degraded environments., • Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks., • Design sensor processing pipelines focused on accuracy, robustness, and system-level fault tolerance., • Collaborate with autonomy, software, and hardware teams to ensure end-to-end integration of navigation and PNT systems., • Conduct simulation, lab testing, and field trials to evaluate algorithm performance under real-world conditions., • Stay current on advancements in state estimation and navigation technologies and help adapt new innovations into deployable solutions.Required qualifications:, • Typically requires a minimum of 7 years of relevant experience with a bachelor’s degree; or 6 years with a master’s degree; or 4 years with a PhD; or equivalent practical experience., • Experience developing and deploying real-time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors., • Strong understanding of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters)., • Proficient in C++11 or newer in real-time environments., • Comfortable working in Linux, with experience using standard command-line tools and scripting., • Strong written and verbal communication skills with a collaborative mindset., • Demonstrated success working in fast-paced development cycles and delivering high-quality results.Preferred qualifications:, • Experience implementing inertial navigation algorithms in degraded or GPS-denied conditions., • Exposure to visual odometry or computer vision-based navigation approaches., • Experience optimizing code for performance on compute-constrained platforms., • Familiarity with CUDA or hardware acceleration techniques (e.g., FPGAs)., • Experience transitioning navigation solutions from research into production environments.#LI-SM1#LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Description Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. The Electronic Warfare Divison at Leidos currently has an opening for a Signal Processing Engineer to support EW programs in Arlington, VA or San Diego, CA. As part of our team, you will focus on improving the robustness and efficacy of sensors and signals in complicated environments. More broadly, you will advance the state of the art in research and advanced applications to support ongoing and future EW programs. You’ll simultaneously get to work alongside scientists and experts in these fields to help grow your own knowledge and career; motivated candidates may have an opportunity to lead tasks as well. Regular tasks will include: • Develop, model, and test algorithms in Matlab, Simulink, or C++, • Analyze results from simulation or real data to identify root causes and trends, • Develop novel and advanced algorithms, performance simulation, and analysis - using simulated and real data in both time series and spectral domains, • Participate in lab-based and field testing, • Support marketing and business development initiatives, • Engage in multiple projects, interacting with Customers as well At Leidos, we offer competitive benefits http://www.leidos.com/careers/pay-benefits, including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Electronic Warfare! Required Qualifications: • Must be U.S. Citizen, • Active Secret clearance and eligible to obtain a TS/SCI level clearance, • Bachelors of Science in Electrical Engineering, Physics, Computer Science, Mathematics or related field, • 4+ years’ experience in radar signal processing, • Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and languages such as C/C++, Java etc., • Working knowledge areas such as digital filtering, spectral estimation, detection and estimation theory, linear algebra and stochastic processes, • Demonstrated strong oral and written communication, • Ability to work in a team environment, as well as independently, • Adaptability to new challenges with a strong motivation to grow and learn in new areas Preferred Qualifications: • Active TS/SCI clearance preferred, • Master’s Degree in Electrical Engineering, Physics, Computer Science, Mathematics or related field, • Task lead or team leadership experience, • Experience translating functional requirements into tasks, • Experience working in areas of modeling and simulation (M&S), radar, adaptive radar, signals processing, algorithm development synthetic aperture radar (SAR) or similar fields NKE ElectronicWarfare If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. May 11, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Qualcomm Technologies, Inc. Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm AI Software Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technology verticals. In this position you will be responsible for assisting with the software design and development of the Qualcomm AI Stack within the Qualcomm AI Runtime (QAIRT) SDK, focused on IOT domain. You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures. You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills. In this role you will lead feature development, provide guidance to junior team members, and make decisions impacting your direct area and the broader work group. You will collaborate with cross-functional teams to deliver robust, scalable AI software solutions, and contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team. Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Responsibilities • As the AI software lead, you will be hands-on and leading the team responsible for ensuring AI SDK support for a variety of IOT product platforms., • Drive feature development and enhancements needed in the Qualcomm AI Stack SDKs for IOT products., • You will work closely with the rest of the AI software team and with other teams within Qualcomm involved in supporting IOT platforms., • Decision-making is significant in nature and affects work beyond the immediate work group. You will provide supervision/guidance to other team members, and you will participate in strategic planning for integrating the Qualcomm AI Stack SDKs into IOT products., • You will also have to keep up with the fast-paced development happening in industry and academia to continuously enhance our solution from a software engineering as well as a machine learning standpoint. Minimum Qualifications • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field., • 8+ years of industry and general software development experience, • Proficiency in software development using C/C++, • Experience with Linux or Unix based OS systems software development environment, • Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.), • Ability to work independently with no supervision, • Ability to lead a software team and effectively collaborate with cross-functional teams to deliver robust, scalable AI software solutions, • Excellent communication skills (verbal, presentation, written)., • Ability to convey complex and detailed information to multiple audiences and high-level stake holders, • Ability to make decisions and construct plans with incomplete information Preferred Qualifications • Master’s Computer Science, Computer Engineering, or Electrical Engineering, • Software development experience with Python, • Experience with Windows software development environment, • Experience building embedded software applications, • Experience debugging complex problems across multiple layers of hardware, OS, compiler, and drivers, • Experience with different Neural Network architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc., • Experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware., • Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT), • Experience with agile software development practices and git based SCM, • Ability to collaborate across a globally diverse team and multiple interests Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $178,400.00 - $267,600.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this _. If you would like more information about this role, please contact _.

As a Senior Artificial Intelligence Engineer for Camgian Labs, our advanced R&D and rapid prototyping team, you will lead the design and development of AI/ML-powered prototypes that push the boundaries of innovation in space and missile defense. You’ll collaborate with multidisciplinary teams to pioneer novel solutions and engage directly with customers and stakeholders to translate visionary concepts to impactful technologies. This role offers the opportunity to solve complex technical challenges, mentor junior engineers, and contribute to thought leadership and proposal development activities Qualifications • Bachelor’s degree in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field., • 5+ years of professional experience in AI/ML model validation and deployment., • Demonstrated proficiency in algorithm development and implementation using Python or similar programming languages., • Strong mathematical background and knowledge of AI, ML, and deep learning concepts., • Excellent written and verbal communication skills., • Experience interfacing with customers and stakeholders in technical environments., • Proficiency with revision control systems (such as Git), including branching, merging, and managing code repositories in a team setting., • Ability to work both independently and collaboratively in a team environment., • Experience collaborating effectively as a member of remote or hybrid project teams., • Ability to travel up to 10% of the time within the United States to support customer engagements and technical exchanges., • Eligibility to obtain or maintain a U.S. Government Security Clearance which requires U.S. citizenship.Desired Skills, • Master’s or PhD in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field., • Experience with AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn, OpenCV)., • Familiarity with tools such as NumPy, SciPy, Pandas, Matplotlib., • Experience deploying AI models in cloud environments (e.g., AWS, Azure)., • Strong analytical skills and creative problem-solving ability., • Understanding of Agile development methodology., • Experience with space domain awareness, satellite operations, or space operations.Key Responsibilities, • Conduct research and development of novel AI/ML concepts, algorithms, and techniques to advance space and missile defense capabilities., • Lead the design, development, and testing of scalable AI/ML software prototypes for space and missile defense using large-scale datasets., • Interface with customers and stakeholders to gather mission requirements, present technical solutions, and ensure project alignment., • Mentor and guide junior engineers, fostering a culture of technical excellence and collaboration., • Track project milestones and budgets, ensuring timely and quality outcomes., • Support proposal-writing activities and thought leadership opportunities., • Engage in continuous learning and professional development to stay at the forefront of AI/ML advancements, space domain technologies, and relevant emerging R&D trends.Why Join Us?, • Work on mission-critical projects that directly impact national security., • Collaborate with leading experts in AI, engineering, and data science., • Enjoy a dynamic, innovative, and inclusive team culture focused on continuous learning and experimentation., • Opportunities for professional growth and technical leadership.About Camgian, • Camgian’s mission is to deliver advanced AI/ML solutions that accelerate decision-making in high-stakes environments. Our advanced R&D unit, Camgian Labs, is seeking a Senior AI Engineer to support the team’s space and missile defense initiatives.

Unacast is a leading provider of global location intelligence that delivers cutting-edge analytics about human mobility in the physical world. We are a team of experts with decades of unmatched industry experience and we partner with organizations across the private and public sectors to unlock the potential of location data. Unacast drives smarter decision-making based on trustworthy, reliable, and privacy-friendly location intelligence that powers both commercial and societal benefits. We are hiring a Software Engineer to join our Core Platform Team! The Software Engineer will work within our Core Platform development team, assisting in the development of batch process and business logic for our core platform, which processes tens of billions of location signal data points each day, including simple to complex algorithm development. Responsibilities: • Understand technical specifications for product code and create technical specifications for products and product features., • Create innovative solutions by writing high quality code that delivers the functionality required and adheres to best practices in development and testing., • Implement and execute manual and automated unit tests, including creating test data, use of REST clients and inspecting results in one or more databases to verify functionality and code robustness., • Document your code and frequently update the status of your work., • Create data and metrics, when needed, for complex algorithm verification. Capabilities: • You are both a team player and a self-starter. You are comfortable working independently with only basic guidance, as well as work well within the larger team., • You have demonstrated experience translating business problems into technology solutions, and deploying the right tool for the job including Scala, Java, third party web services, scripting languages (e.g. Python, R) and third party tool sets., • You are capable of taking a basic description of what is needed, analyzing it and asking the right questions to generate a detailed specification of the software requirements., • You can demonstrate to us that you have developed multiple applications from requirements elaboration to delivery to production., • You must have good organization skills and great communication & documentation skills., • You must be able to demonstrate proficiency in leveraging Generative AI tools to accelerate code authorship, unit testing, and debugging, while maintaining strict adherence to security protocols and data privacy standards. Experience: • At least 4 years’ experience in software development in Java., • You can demonstrate to us that you have good database skills both creating new databases, modifying existing databases and manipulating data within those databases., • You will be experienced in either SQL or NoSQL databases and enjoy working with both., • Proficiency in writing complex, analytical SQL (CTEs, Window Functions, recursive queries) and performant DML operations. Proven ability to optimize query execution plans and refactor slow-running code to ensure scalability in high-volume data environments., • You have experience processing data efficiently in JSON and/or XML formats., • Experience with MySQL, AWS, Spark, Snowflake, DynamoDB, CartoDB or other similar tools., • Professional experience using Git to manage complex codebases, including branching, merging, and pull request workflows., • Proven history of working with automated deployment pipelines (e.g., GitHub Actions) to ensure code quality and system uptime., • You may also have experience with languages such as Scala, Python and R which allow you to put the right tool to the task. ... and it is a positive if • Experience with data analytics and data visualization., • You have experience working with geospatial data., • You are team and customer service oriented, innovative, open-minded to the solution set, and driven to deliver solutions that meet or exceed requirements., • You believe that simple approaches are better than complex, whenever possible. What we expect of you • Demonstrate a proactive and entrepreneurial mindset., • Contribute to a positive and enjoyable work environment., • We are a startup, so things change fast, you need to be agile and proactive on this journey., • Participate in the on-call rotation., • Personal characteristics we value include: high integrity, entrepreneurial spirit, innovative thinking, team player, passion for technology, adaptability, high energy and attention to detail. Other Info This a remote position that may require occasional travel. Preference for candidates who live in the EST time zone who reside in the following states: CT, CO, FL, GA, IL, IA, IN, MD, NC, NJ, NM, NY, PA, RI, SC, TX, VA, WV We offer competitive salaries and benefits and unlimited PTO. The typical base salary range for this role is $110,000 to $130,000. Ranges are based on various factors including the labor market, job type, job level, internal equity and budget. Exact salary offers will be determined by factors such as the candidate's skills, qualifications, experience and geographic location. Unacast is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, creed, disability, ethnicity, gender identity or expression, marital status, national origin, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by law. Unacast is committed to making the job application process accessible to everyone. If you are living with a disability (visible or not visible), we will provide a reasonable accommodation for any part of the application or hiring process. To request an accommodation in connection with the application or recruiting process, please contact Human Resources at 703-840-8850. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Unacast participates in the E-Verify program.

PeopleFun is an award-winning creator of mobile games for players across the globe. PeopleFun is a Dallas-based game studio founded and led by game industry veterans, where game developers thrive on collaboration, creativity, teamwork, and fun. Our games are played by over 25 million players each month, and we have a number of exciting mobile games in development to fuel the future growth of PeopleFun. We believe in bringing People together through Fun by creating the best in class social features and communities in our games that enables our players to engage deeply with other players. Secondly we endeavor to bring our studio teammates together by creating the very best game teams that foster healthy collaboration, incredible productivity, and life-long professional relationships. Candidates who reside or will reside in the following locations are eligible for this role: California, Colorado, Florida, Georgia, Illinois, Maryland, Massachusetts, Minnesota, Nevada, New Hampshire, New Jersey, Oregon, Rhode Island, Texas, and Washington State. Job SummaryPeopleFun is actively seeking a highly skilled and innovative Principal Engineer to lead the development of our pioneering dynamic difficulty system, WordAlgo. This critical role involves optimizing the player experience by dynamically adjusting game difficulty in real-time, leveraging initial rule-based algorithms, and subsequently integrating advanced Machine Learning and Large Language Models. The impact of this work will extend across multiple mobile word puzzle games within our portfolio, significantly enhancing player engagement and retention. Reporting to a General Manager with a strong engineering background, the successful candidate will operate within a collaborative, agile team comprising a data scientist and a data engineer. This environment emphasizes iterative development, A/B testing, and continuous evaluation of innovative solutions. We are looking for a professional with a proven track record in challenging technical domains, a proactive approach to problem-solving, and a passion for creating highly engaging mobile game experiences. This position offers a unique opportunity to contribute to a transformative initiative within a fast-paced and forward-thinking organization. • Design, develop, and implement the core Word Algorithm (WordAlgo) system, initially focusing on rule-based logic and evolving into ML and LLM-driven solutions using unit tests, • Create tools to convert and generate optimized data for use in mobile games., • Collaborate closely with data engineers and data scientists to integrate data pipelines and leverage player data for difficulty detection and adjustment., • Work hand-in-hand with game development teams to seamlessly integrate WordAlgo into existing and new mobile games, ensuring a clean and well-documented API for game logic to consume., • Design and document technical specifications for WordAlgo components, including algorithm logic, data flow, and API contracts., • Participate actively in an Agile development environment, contributing to iterative design, implementation, and testing cycles., • Continuously monitor and analyze game performance data to identify opportunities for algorithm optimization and player experience improvement., • Articulate technical concepts, challenges, and solutions clearly and concisely to both technical and non-technical stakeholders through verbal and written communication., • Champion PeopleFun's culture of trust, humility, and team-focused results in all aspects of work., • 7+ years of experience in mobile game development, with a strong understanding of game architecture and systems., • Demonstrated experience successfully launching and operating at least one commercial mobile game title., • Expert-level proficiency with Unity game engine, including a deep understanding of its architecture, scripting (C#), and best practices., • Proven ability to design and implement robust, scalable, and well-documented APIs., • Excellent verbal and written communication skills, with the ability to articulate complex technical ideas and engage in productive discussions., • Experience writing comprehensive technical design documents., • Familiarity with Agile development methodologies and a track record of delivering iteratively., • Experience with or a strong understanding of Machine Learning concepts and applications., • Familiarity with Unity Sentis or similar on-device ML inference engines., • Experience working with large datasets and data-driven systems., • Knowledge of Natural Language Processing (NLP) or Large Language Models (LLMs).PeopleFun provides a competitive total compensation package with a pay-for-performance rewards approach. The expected base pay range for this [CA-based or North America-based] position is $120,000–$206,250. Compensation is based on factors including market location and individual qualifications. Depending on the position offered, equity, sign-on bonuses, and other compensation may be included as part of the total package. BenefitsMedical/Dental/Vision Insurance Performance Bonuses401K Match Policy Flexible PTO PolicyWellness Stipend Free Lunch each FridayGenerous Parental Leave & Family-Friendly CultureAnnual Credits for Professional Development & In-App Purchases PeopleFun is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant _.

Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. Job Summary: The Cloud / Infrastructure Engineer is the person who builds the platform that everything else runs on. You'll provision Azure environments from scratch for health system partners — VNet configuration, private endpoints, managed identities, ADLS2 storage accounts, Databricks workspaces, and all the networking and security plumbing that holds it together. This is different from application-level data engineering. You're building the infrastructure foundation that data engineers build on top of. When a health system partner needs a modern data platform stood up so our AI products can connect, you're the person who makes the cloud environment real — from empty Azure subscription to production-ready Databricks workspace with data flowing. You'll work within our data modernization practice, building environments for partners transitioning from legacy infrastructure, and also support the broader integration team with tenant provisioning patterns and infrastructure best practices. If you love Terraform, Azure networking, and the satisfaction of seeing a well-architected cloud environment come to life, this is your role. Key Responsibilities: Provision Azure environments for modernization engagements: VNets, subnets, NSGs, private endpoints Deploy and configure Azure Databricks workspaces, ADLS2 storage accounts, and compute clusters Build and maintain IaC (Terraform/Bicep) for repeatable infrastructure provisioning Configure managed identities, RBAC, and security controls per engagement requirements Set up networking for data connectivity (Delta Share, Fabric External Sharing, SFTP endpoints) Support the Client Integration team with tenant provisioning patterns and infrastructure guidance Document infrastructure configurations and maintain runbooks Required Qualifications: 3-6 years in cloud infrastructure, DevOps, or platform engineering roles Deep Azure experience: ARM/Bicep or Terraform, VNet design, private endpoints, managed identities, RBAC Databricks workspace deployment and configuration experience Networking fundamentals: DNS, firewalls, peering, private link Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field Preferred Skills: ADLS2 provisioning and management Security-conscious infrastructure design: experience with HIPAA infrastructure requirements Healthcare or regulated industry infrastructure experience Experience building infrastructure for data platforms (not just web applications) Familiarity with Delta Share, Fabric External Sharing, or similar data connectivity protocols IaC Discipline: Your infrastructure code is version-controlled, tested, modular, and reusable — you don't click through portals Security Mindset: You think about security at every layer — network isolation, identity management, encryption, access controls Systematic Approach: You build infrastructure that can be reproduced for the next engagement, not one-off environments that require tribal knowledge to maintain Troubleshooting: When connectivity fails between a VNet and a Databricks workspace, you know where to look and how to diagnose it quickly Cross-Team Collaboration: You'll work alongside data engineers, modernization leads, and integration teams — you need to speak their language Technical Environment: Our data infrastructure is built on modern cloud technologies including: Azure Databricks + Data Factory (plus Fabric and Snowflake integrations) PySpark for distributed data processing GitHub Actions + Terraform for CI/CD and Infrastructure as Code Python with type-safe patterns and modern frameworks Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. Our Commitment to Diversity Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. Pay & Benefits: The pay range for this role is between $160,000 and $210,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

_ is a rapidly growing consumer technology firm operating a suite of healthcare businesses, including our flagship brand BlueChew. Our mission is to better patients' lives through innovative healthcare solutions. With a team of 300 professionals across various specialties, we've built scalable pharmacy, telemedicine, and e-commerce platforms using cutting-edge technology. As we continue our accelerated growth trajectory, we're launching new products to expand our patient base and accelerate growth. Join us in tackling exciting challenges at the intersection of healthcare and technology. At BlueChew, "Fullstack" means more than just connecting a database to a UI. You will be building the digital bridge between a patient's medical consultation and the physical delivery of their prescription. This role is for an engineer who thrives on the "hard problems" of healthcare—maintaining strict HIPAA-compliant security and high-availability systems while delivering the sleek, intuitive user experience of a modern D2C brand. Join our team in Austin, TX or Chicago, IL - we are looking for someone who truly values and enjoys working in the office, not just tolerates it. • Architect and build key features for major business areas such as pharmacy operations, ecommerce, and telemedicine., • Produce high quality code for peer review, • Provide technical guidance for junior engineers, • Code review for peers Technology Utilization • Main programming languages: TypeScript, Python, Ruby, • Databases: SQL and no-SQL, BigQuery, MongoDB, • Frameworks, key libraries, and runtime: Angular, Node JS, AWS Chime, FreeSwitch, • Infrastructure: Google Cloud, AWS, GitHub, and on-premise servers, • Project management: Azure DevOps Notable Projects & Accomplishments • Telemedicine Platform: Proprietary system with EHR (electronic health records) integration, web-based video calls, and SIP-to-web voice conversion, • Pharmacy Software: Scalable system handling high-volume prescription fulfillment, • E-commerce Engine: Includes integrated shipping, payments, email, and more Qualifications • Education & Experience, • BS/MS/PhD in Computer Science, Math, Science, Engineering, Economics, or other highly quantitative disciplines, or equivalent experience., • Solid grasp of computer science foundations, mainly algorithms and data structures, • Expertise in one or more modern programming languages. Examples are TypeScript, Javascript, Python, Go, C++, Java, etc Ideal Profile • Has written lots of non-trivial code, • Has had to design creative engineering solutions frequently, • A problem solver with a sound computer science background., • Enjoys coming up with a new code architecture, studying a new open-source library, building a new internal library, and designing the detailed steps to implement a big feature, • Ability to learn quickly how a standard computer science algorithm works, such as graph algorithms, sorting algorithms, etc., • Should possess real expertise in at least one programming language., • BS, MS, PhD in Computer Science, Math, Science, Engineering, Economics, or other highly quantitative disciplines, or equivalent experience., • Strong understanding of core computer science principles, including algorithms and data structures, • Proficiency in at least one or more modern programming language such as TypeScript, Python, Go, JavaScript, C++, or Java Highlights • Competitive Pay, • Work on the ground floor launching new DTC medications, • Be on the cutting edge of both telemedicine and software engineering, • Contribute as a core team member of the SWE team Interview Process • 15 minute HR Screening, • 1 hour take home test with a sequence of algorithm challenges screen recorded, first 30 min without AI help, and 30 min with optional AI help, • 1 hour live technical interview with a team member focused on algorithms, • Additional technical interview with a team member focused on algorithms (1 hour), • Final round: on-site visit to our Austin office or video interview with CEO, CTO, and other senior members of the team. Perks • 100% company-paid Medical, Dental, Vision premium coverage,plus Short-Term Disability and Life Insurance., • 401K with company match., • Paid time off and company-paid holidays, • Enjoy free daily lunch We are looking for top talent that wants to make a measurable impact in an exciting, fast-paced environment in our Austin, TX or Chicago, IL offices. Fully Onsite. #LI-RG1

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. About the Role: The Dynamic World Perception team is responsible for real-time detection of road actors and properties. This includes developing occupancy networks and other perception algorithms to accurately identify and classify all dynamic elements within the driving environment. We're looking for a Staff or Senior Engineer to lead the development, maintenance, and enhancement of our long-range detection capabilities, ensuring the required safety and performance standards are met or exceeded. Responsibilities: • Lead initiatives in the team to deliver state-of-the-art closed-and open-world detection capabilities., • Contribute to expansion and fusion of existing detection models to support improving performance and extending performance at range., • Contribute to improvement of model frameworks, architecture, and data pipelines., • Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments., • Drive highly cross-functional features and workstreams from problem statement to delivery., • Contribute to the technical direction of the team and broader perception org., • Align stakeholders with strong presentation and communication skills., • Lead challenging technical topics and build consensus. Qualifications: • Extensive experience architecting, training, and deploying deep learning models into real-world environments., • Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization., • Experience delivering detection, segmentation, and/or tracking solutions for real-time robotic applications. Prior experience in sensor fusion is highly desirable., • Strong experience in software engineering and machine learning algorithm design., • Fluency in Python., • Experience with C++. We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Check out our _ Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(_) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Video Systems, HW Architecture General Summary: Qualcomm’s Computer Vision Systems team is building the intelligence behind the world’s most advanced Snapdragon‑powered devices, from next‑gen mobile phones to autonomous vehicles, IoT, and immersive AR/VR platforms. The group’s work spans across computer vision algorithm development, CV accelerator architecture, and on‑device prototyping. If you’re passionate about shaping the future of on‑device vision processing, this is where your work will reach billions of users. We’re looking for a Computer Vision Solutions Engineer who thrives at the intersection of algorithms, hardware, and real‑world productization. You’ll help define and deliver the Snapdragon Vision API based features, enabling developers and OEMs to build breakthrough CV experiences on cutting‑edge hardware. Experience with CV hardware accelerators and OpenCV is a plus. Key Responsibilities Lead the design and implementation of computer vision features and on-device prototyping using the Snapdragon Vision API solution. Support engineering teams in building, integrating, and deploying CV APIs for commercial products. Develop clear and thorough technical documentation, diagrams, and sample materials that showcase the capabilities of the Snapdragon Vision API for end‑application developers. Ensure deliverables meet schedule expectations and KPI targets, proactively identifying and addressing risks. Collaborate closely with system, software, hardware, and product teams throughout CV feature prototyping and commercialization. Contribute effectively in a fast‑paced, highly collaborative environment with distributed cross‑functional teams. Qualifications Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. Preferred: Master’s or PhD in Computer Science, Electrical Engineering, or a related discipline. Minimum Skills 3–5 years of hands‑on experience developing computer vision applications or libraries. Strong understanding of CV concepts, algorithms, and deep‑learning‑based vision pipelines, with a track record of delivering commercial CV solutions. Proficiency in designing and implementing products using vision APIs, following established standards and best practices. Strong coding and debugging skills in C/C++ and Python, with the ability to rapidly prototype and evaluate CV features on device. Preferred Skills Experience with CV and ML libraries such as OpenCV, TensorFlow, and PyTorch (TorchVision), including image processing and deep learning workflows. Working knowledge of embedded systems and architectures, especially hardware CV accelerators. Experience producing high‑quality API documentation and technical materials. Familiarity with commercial software development practices and SDLC methodologies. Minimum Qualifications Bachelor’s degree in Computer or Electrical Engineering, Computer Science, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer or Electrical Engineering, Computer Science, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. EEO / Accommodations Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. We will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Pay range and Other Compensation & Benefits: $148,300.00 - $222,500.00. The pay range reflects the broad minimum to maximum for the location. Salary is one component of total compensation, which also includes a discretionary annual bonus program and potential RSU grants. Qualcomm offers a competitive benefits package. Please discuss details with your recruiter. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

Senior Firmware Engineer - Programmable Logic page is loaded## Senior Firmware Engineer - Programmable Logiclocations: San Diego, CA - Foresight Sportstime type: Full timeposted on: Posted 26 Days Agojob requisition id: R0013134# Job DescriptionRevelyst, is a collective of makers who design and manufacture performance gear and precision technologies. Our category-defining brands leverage meticulous craftsmanship and cross-collaboration to pursue innovation and redefine what is humanly possible in the outdoors.We are seeking a high-caliber Senior Firmware Engineer to design and develop high-performance, real-time systems for cutting-edge camera-based sports equipment. This position combines expertise in embedded firmware, FPGA development, and real-time performance optimization to meet the precision and speed demands of an industry-leading product. You will work closely with hardware engineers, systems engineers, and QA teams to bring innovative solutions to life.This position reports to the Firmware Engineer RT Supervisor, and is based out of our San Diego office. This role is currently based in San Diego but will be moving to our new, state‐of‐the‐art Golf Technology headquarters in Carlsbad, CA. The move will roll out in phases across 2026, beginning with initial team moves in June and continuing throughout the year.As the Senior Firmware Engineer, you will have an opportunity to: Develop and optimize embedded firmware and FPGA logic for high-speed, precision camera-based systems in a real-time environment. Collaborate with hardware engineers, system architects, and application developers to integrate firmware with other systems. Engage in architectural and design discussions on firmware and FPGA solutions for next-generation products. Mentor and guide junior engineers, providing technical leadership and support in firmware development and real-time systems design.* Perform rigorous debugging, optimization, and testing to ensure reliability, robustness, and fault tolerance of embedded systems.You have: 6+ years of experience in embedded systems development, with a focus on real-time, performance-critical applications. Mastery in bare metal/real-time development using C/C++ for embedded systems. Proven experience interfacing with components such as FPGA, DDR, Flash Memory, I2C, SPI, RTOS, LVDS, and timing, and understanding their interactions in real-time systems. Experience in performance-critical applications, such as high data rate or low latency scenarios. Experience in hardware debugging, including JTAG and other diagnostic tools. Strong understanding of real-time systems and performance metrics such as latency, throughput, and timing constraints in embedded applications.Strongly desired: FPGA design and development using Xilinx toolset (VHDL/Verilog), with experience in designing for Xilinx Zynq, Versal, or Artix SoCs. Familiarity with Vitis/Vivado toolchain and hardware-software co-design. Experience in image processing, machine vision, or similar domains, including filters, transforms, convolution kernels, and algorithm optimization for embedded systems. Strong background in algorithm development for real-time computer vision or signal processing, with a focus on performance optimization. Advanced knowledge of object-oriented programming (OOP) design and software engineering best practices. Extensive experience working with bare metal microcontrollers in time-critical applications. Familiarity with performance benchmarking tools and optimization techniques for embedded systems. Comfortable in Linux environments, particularly for managing embedded Linux systems alongside real-time processors.Minimum education required:* Bachelors degree#LI-BC1#ForesightSportsPay Range:Annual Salary: $120,000.00 - $150,000.00The actual annual salary offered to a candidate will be based on variables including experience, geographic location, education, and skills/achievements, and will be mutually agreed upon at the time of offer.We offer a highly competitive salary, comprehensive benefits including: medical and dental, vision, disability and life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an exciting mission!Our Postings are not intended for distribution to or use in any jurisdiction, country or territory where such distribution or use would violate local law or would subject us to any regulations in another jurisdiction, country or territory. We reserve the right to limit our Postings in any jurisdiction, country or territory.Equal Opportunity Employer Protected Veteran/Disabledlocations: San Diego, CA - Foresight Sportstime type: Full timeposted on: Posted 26 Days Ago #J-18808-Ljbffr

About the Role The Vehicle Control Research Engineer will help TuSimple improve motion control capability, simulation enhancement, and safety for autonomous trucks. What You Will Do Deliver high‑quality and reliable code for control and estimation modules on autonomous driving trucks. Develop cutting‑edge optimal, robust, non‑linear control algorithms for a complex system operating in challenging real‑world scenarios. Gain experience in system modeling and identification through cascaded models of plant components and their interactions, and data‑driven methods. Collaborate with other engineers to conduct system integration and tests. Control Research Project Examples Powertrain‑level optimal longitudinal control for improved safety and efficiency. Optimal lateral control under different vehicle configurations and disturbances. Vehicle state and constraint estimation to support multiple chassis and powertrain characteristics. Joint development of vehicle control interfaces, feedback signals, and redundancies with OEM and Tier‑1 supplier partners for production‑grade Level‑4 operation. Develop simulation for complex truck dynamics with high‑fidelity model structure. What You Will Need Location: Ability to work from TuSimple’s San Diego office three days a week is required. Education: At least a Bachelor’s degree. Experience: At least 4 years of directly related experience. Product‑quality code in C++ and/or Python. Knowledge and experience in convex optimization, non‑linear optimization, stochastic optimization, Markov decision process, and graph search algorithm. Experience in designing and building data pipelines. What Will Set You Apart Masters or a PhD in Computer Science, Robotics, Mechanical Engineering, Mathematics/Statistics or related fields. Autonomous vehicle industry experience is highly preferred, but not required. Advanced Driver Assisted Systems experience is also preferred. Knowledge and experience in control methods preferred, including: Model Predictive Control Robust Control Optimal Control Adaptive Control Demonstrated ability to prototype and implement controllers on physical systems is preferred. Benefits 100% employer‑paid healthcare premiums for you, your spouse or domestic partner, and dependents. Unlimited snacks, drinks, treats, fruits, meals, and more available. Monthly gym membership reimbursement. Monthly team‑building budget. Free Coursera Enterprise Account. Annual tuition reimbursement. Employer‑paid life insurance, long‑term and short‑term disability. Equal Opportunity Employer TuSimple is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin, or any other basis prohibited by applicable law. Hiring, transferring, and promotion practices are performed without regard to the above‑listed items. Pay Transparency Individual salaries will vary within the following range based on factors such as location, business needs, and candidate’s skills, education, and experience. Salary Range $150,000 – $180,000 USD Our Values Partner: We share, collaborate, communicate, and work together with colleagues, customers, and partners. Persevere: We are agile, adaptable, and persist through adversity to achieve objectives and follow through our commitment. Pioneer: We innovate, take informed risks, and set the pace for autonomous freight and its network. Protect: We safeguard the company’s people, assets, reputation, partners, and how our innovations impact communities. #J-18808-Ljbffr

Job Description Computer Vision Engineer Job Overview As a Computer Vision Engineer at Foresight Sports, you’ll design and implement vision-based systems that enable real‑time tracking of golf balls, club heads, and player motion using high‑speed camera data. Your work will directly power the core functionality of our flagship launch monitors and simulation products. This role blends algorithm development, machine vision, and performance optimization in a fast‑paced, hardware‑integrated environment. This position reports to the Firmware Engineer Manager and is based in our San Diego headquarters. Responsibilities Develop and implement real‑time computer vision algorithms for object detection, tracking, pose estimation, and motion analysis. Work with high‑frame‑rate, multi‑camera systems to extract 3D trajectory and impact data for golf ball and club head tracking. Collaborate with hardware, firmware, and simulation teams to integrate vision pipelines with embedded and desktop systems. Optimize code performance for real‑time constraints using SIMD, GPU, or multithreading techniques. Apply image calibration, stereo vision, and sensor fusion techniques for accurate spatial modeling. Prototype and test new vision concepts, evaluate image sensor performance, and contribute to field trials. Write clean, modular, and testable code with unit and integration tests. Maintain detailed documentation of vision algorithms, workflows, and data pipelines. Support ML workflows including dataset versioning, experiment tracking, and model deployment on Azure ML infrastructure. Maintain and extend MLOps tooling — annotation pipelines (CVAT), training jobs, and model evaluation workflows. You Have (Requirements) Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. 3–5+ years of experience in computer vision, preferably in a real‑time, product‑focused environment. Strong proficiency in C++ and Python, with experience using OpenCV or similar vision libraries. Solid understanding of camera geometry, calibration (intrinsic/extrinsic), and lens distortion correction. Experience with multi‑camera setups, stereo vision, or 3D reconstruction. Familiarity with object detection/tracking techniques (e.g., optical flow, Kalman filters, background subtraction, deep learning‑based methods). Knowledge of real‑time optimization techniques, parallel processing, or embedded CV deployment. You May Have (Preferred) Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) for CV applications. Familiarity with OpenGL, CUDA, or GPU programming for acceleration. Knowledge of golf dynamics or sports motion tracking is a plus. Experience working on embedded systems or with real‑time video processing pipelines. Exposure to MATLAB or ROS is beneficial for prototyping and testing. Hands‑on experience with Azure Machine Learning (workspaces, compute clusters, datastores, and experiment tracking). Familiarity with Docker and Docker Compose for containerized ML tooling deployment on cloud VMs. Experience with Azure DevOps pipelines for automating ML training, evaluation, and model registration workflows. Pay Range Annual Salary: $112,000.00 – $130,000.00 The actual annual salary offered to a candidate will be based on variables including experience, geographic location, education, and skills/achievements, and will be mutually agreed upon at the time of offer. Benefits We offer a highly competitive salary, comprehensive benefits including: medical and dental, vision, disability and life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an exciting mission! Equal Opportunity Statement Equal Opportunity Employer Protected Veteran/Disabled Revelyst is an equal opportunity employer. All applicants are considered for employment without regard to race, color, sex (including pregnancy and related conditions, sexual orientation, or transgender status), national origin, religion, age (40 and older), equal pay, disability or genetic information (including family medical history or genetic tests or services), and retaliation for filing a charge, reasonably opposing discrimination, or participating in a discrimination lawsuit, investigation, or proceeding, and any other characteristics protected by law. The EEO Law poster is available here: https://www.eeoc.gov/poster . Accommodations If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to careers@revelyst.com . Please note that this email address is for accommodation purposes only. Revelyst will not respond to inquiries for other purposes. #J-18808-Ljbffr

Job Description Koh Young Technology Koh Young Technology, founded in 2002 in Seoul, South Korea, is the world leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. Using patented 3D technology, Koh Young provides best-in-class products in Solder Paste Inspection(SPI) and Automated Optical Inspection(AOI) for electronics manufacturers worldwide. In addition to our headquarters in Seoul, Korea, we maintain offices in Europe (Germany), United States, Japan, Singapore and China, allowing us to have close communication with our customers and have global network of sales and services. The company invests very heavily in R&D (60% of the workforce, >10% of sales) and treasures talented team members. Koh Young has a dynamic innovative culture and strives to be at the top of the industry. Koh Young America (KYA) Located in Duluth, GA, Koh Young America has been serving business partners in North America with sales and technical support since 2010. In addition to KYA’s sales and support for North America, Koh Young Research America was established in 2016 in San Diego, CA as a Research & Development hub for artificial intelligence and deep learning technologies. Summary We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines, including quality inspection systems in many different industries, medical equipment, as well as other exciting applications which use 3D imaging technologies and Machine Learning. As a computer vision engineer, you will be using cutting-edge vision and AI algorithms to integrate into robotics systems designed by worldwide teams of software, mechatronics, electronics, physics and optics engineers. (interdisciplinary and collaboration) Responsibility • Research and develop scalable and cutting-edge computer vision for 3D reconstruction, 2D/3D imaging technologies, camera calibration, object detection, image processing, denoising, segmentation and metrology., • Research, develop and employ machine learning algorithms for solving difficult and exciting challenges., • Engineer solutions for quality inspection equipment, medical equipment, and more., • Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python., • Participate in weekly “Group Genius” activities, where all members take the lead and create ideas, with the mindset that innovation can happen by anyone and anywhere., • Performs other duties as assigned Skills and Qualifications • Master’s degree required, • Ph.D preferred, • Experience to Research and Develop to Classical Computer Vision Algorithm, • Experience to Research and Develop Machine Learning, • Experience to Deploy CUDA processing, • C++ code optimization in performance-wise to image processing, • Experience with at least of the programming language C++ / Python / CUDA Have at least one of the followings: • Computer Vision algorithms and applications, such as 3D reconstruction(structured light, multi-view geometry, etc), object detection, recognition, image processing, and their optimizations for efficient implementation., • Machine Learning, such as CNN/deep learning, shallow learning and their optimizations for efficient implementation on embedded systems, • Algorithm optimization for efficient processing, exploiting parallelism, and GPU, • Experienced in use of Machine learning and computer vision frameworks and libraries such as Tensorflow, Pytorch, Caffe, Torch, OpenCV, etc (>2years), • C++ programming skills, preferably in an embedded environment with GPU and familiar with UML Benefits • Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage), • 401(k) retirement plan (Immediately 100% vested), • Generous PTO and paid holidays

Job Description [Position] Computer Vision Engineer [About Our Client] Leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. San Diego Office, Research & Development hub for artificial intelligence and deep learning technologies. [Job Summary] • To research and develop scalable computer vision and machine learning solutions to a hard problem, • To investigate and solve exciting and difficult challenges of the real-world problems in image recognition/classification, object detection/recognition, 3D reconstruction and deep learning, • To design, implement, and deploy full-stack computer vision and machine learning solutions [Job Description] [Detailed Job Descriptions] • Deep Learning Network Training and Deployment to wide range of CV application, • Image Enhancement, • Ghost removal / De-blurring / Contrast Enhancement -Color Image Processing • Denoising / Image Domain Transformation / Smoothing & Sharpening -Segmentation • Semantic Segmentation / Instance Segmentation -Various Region Detection on Images • Saliency / Anomaly, • Shape matching / Blob from multi-modal data / Model Fitting -Classification • Small Data driven / Big Data driven -3D / Depth image processing development • Transformations / Denoising (Artifact, …) / Reconstruction / Ensemble, • Stereo Vision, • Camera Calibration / Depth Estimation Requirements [Qualifications] [Education and Experience] • Required: Master’s degree in Computer Science or Electrical Engineering plus 2 or more years of relevant experience, • Preferred #1: Master's degree in Computer Science or Electrical Engineering plus 5 or more years of relevant experience, • Preferred #2: Doctorate in Computer Science or Electrical Engineering plus 3 or more years of relevant experience [Technical Requirements] (At least, one of the below is required.) • Experience to Research and Develop to Classical Computer Vision Algorithm, • Experience to Research and Develop Machine Learning, • Experience to C++ implementation of Computer Vision [Skills to programming language ](At least, one of the below is required.) • C++ / Python / CUDA Benefits • Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage), • 401(k) retirement plan (Immediately 100% vested), • Generous PTO and paid holidays

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