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Job Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the mission success of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: As an Autonomy Software Engineer in the SAAM group, you will work as a part of high-performing teams focused on autonomy development and mission systems integration within demanding customer environments. You will ensure that these teams are executing at a high level to develop robust, fielded solutions that also lay the groundwork for future programs to build on. What you will do: • System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed, • System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure, • Leadership: lead small, focused teams to implement and test real-time applications featuring open architecture software principles, implementing real-time systems in Modern C++ from verified algorithms written in higher-level languages such as MATLAB, • Customer engagement: support potential and current customer discussions to better understand their requirements and shape product development Who you are: • Self-motivated with demonstrated ability to excel under limited guidance, • Strong proficiency in modern C++ development, including multi-threaded applications, • Experience with test-driven development and CI/CD practices, • Familiarity with cross-platform development (Windows, Linux, iOS) and version control workflows, • Experience with hardware/software integration, • Minimum of 2 years relevant experience with PhD, 5 years with MS, or 7 years with BS, • Ability to obtain and maintain a secret security clearance, for which U.S citizenship is needed by the U.S government Even Better: • Active Secret or Top Secret security clearance, • 5+ years of C++ programming experience with open architecture systems, • Experience with safety-critical software architectures, • Experience with real-time software development and algorithm optimization, • Familiarity with network protocols and debugging, • Familiarity with relevant open standards such as OMS/UCI and A-GRA, • Experience with software quality tools (static/dynamic analysis, automated testing frameworks) Pay Information Full-Time Salary Range: $174,000 - $225,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Senior Embedded Software Engineer- Systems / Technical Pre-sales Boston, MA, US | Full-time | Permanent | Hybrid Salary: $145,000 to $205,000 DOE The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements. About us Riverlane's mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry's defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. Having raised more than $125M in funding to date to accelerate our cutting-edge R&D in quantum error correction (QEC), Riverlane partners with many of the world's leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We're making remarkable progress and growing fast. About the role Systems Engineer bridges the gap between River Lane and it's customers. They act as the primary technical interface for customer's engineers and guide them through product integration and help with trouble shooting complex quantum systems. As an Embedded Software Engineer in the Systems Team, you will configure our Deltaflow Hardware to connect Quantum Computer to provide low-latency, high throughput system that perform complex operations, in a predictable and guaranteed way. You will develop our software stack to work with customers quantum computers. Ensure that our customers can run quantum experiments, implement Riverlane's quantum errors correction algorithm and debug any issues that arise. This is a fantastic opportunity to join Riverlane's team, that is developing the world's most advanced quantum error correcting algorithms. The Riverlane team is a mix of mathematicians, physicists and engineers, working together on a range of exciting and cutting-edge projects What you will do • Technical pre-Sales: -Host Technical Workshops on Riverlane's QEC Stack and DeltaKit. -Evaluate Customers Software and data communication systems. • Integration On-Site: End-to-End System Deployment. -Integrate our Software Stack into Customer's Quantum Computer Systems. -Work with Riverlane's Quantum Application Team to design experiments to test the compiled software. -Benchmark and discover system limitations. • Troubleshooting and Debugging: Managing Customer Issues -Report issues and help replicate the setup with the QA team in Riverlane. -Writing scripts to help debug the complete system -Update test environment and document the experiments that were conducted. • Customer Advocacy: Voice of the Customer to River Lane Product Team -Highlight the success, issues and trends on customer's Quantum Systems -Feedback key features that will be needed to win current and next generation products -Create Dashboard that would allow better understanding of the complete quantum computing system. What we need • A Bachelor's degree (or equivalent) in Computer Science, Electronic Engineering, Physics, Math or a related discipline., • Great communication skills (written and verbal) and an ability to work with a diverse range of people are essential., • Strong embedded C++ and Python skills., • Proven experience in SoC design, Embedded Systems Design, or Computer Architecture, • Proficiency with a scripting language, such as Python (preferred), • Working knowledge of Verilog, VHDL or System Verilog, • Curiosity to learn about new technologies, including quantum computing and error correction, • A deep understanding of how hardware implements software, • Experience with standard development practices, such as source control, continuous integration and unit testing, standard debug methodologies, • Ability to work well within a team and independently, • Must be able to pass a USA Gov Clearance if required Even better if: • Experience working on scientific instrumentation, • Good knowledge of Quantum Mechanics What can you expect from us • A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance and 401K contributions, • Equity, so that our team can share in the long-term success of Riverlane, • Generous paid time off, and enhanced family leave, • A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and math) and over 20 different nationalities, • A learning environment that encourages individual, team and company growth and learning, including training and conference budgets How to apply Please upload a CV and cover letter by clicking 'Apply'. Your cover letter should explain why you are applying for the job and what skills and experience you can bring to the role. We review CVs as we receive them and interview as soon as we have applications that look like a good match. We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role. If you have any queries, please contact jobs@riverlane.com. Everyone is welcome at Riverlane. We are an equal opportunity employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every single qualification. We'd love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. GDPR notice: Riverlane collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details. #LI-CA1

Job Description At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Signal Processing Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Data Science. This role is central to developing next-generation sensor processing to enable foundational health features at WHOOP. You’ll develop the edge signal processing underpinning WHOOP physiological insights and coaching, ultimately delivering meaningful and personalized feedback to millions of members. RESPONSIBILITIES: Lead the design and development of signal processing for real-time, edge inference on consumer products Own the full lifecycle: prototyping, validation, productionization, and continuous improvement Evaluate commercial solutions; create demos and inform build/buy decisions Collaborate cross-functionally with hardware, software, and product teams to bring algorithms to WHOOP members Mentor junior engineers and contribute to a high-performance, research-to-production culture QUALIFICATIONS: B.S. in Electrical Engineering or related field, M.S. or PhD preferred 5+ years of experience developing and deploying real-time sensor signal processing algorithms (e.g., physiological, audio, motion, etc.) Demonstrated experience deploying algorithms to consumer product embedded platforms (e.g. fixed-point DSPs or MCUs) Strong foundation in signal processing fundamentals (e.g., filtering, spectral analysis, time-frequency methods) Experience with system-level design and optimization to maximize product battery life Proficiency in Python or MATLAB for algorithm prototyping and with C/C++ for deployment to embedded product platforms Excellent communication skills, including the ability to present technical results to a diverse audience BONUS QUALIFICATIONS: Experience developing hybrid DSP/ML systems, with a focus on signal pre-processing and/or feature extraction Knowledge of embedded systems, RTOS, or firmware development Deep understanding of sensor physics or sensor fusion techniques Knowledge of microcontroller libraries for efficient signal processing (e.g. CMSIS-DSP or CMSIS-NN) This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $215,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company’s Most Innovative Companies in 2019, 2022, 2023, 2026, and twice named to TIME’s “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in the extra effort — not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier — this isn’t it. The Role We’re looking for a Clinical Data Engineer who will own the end-to-end data pipelines for our clinical studies, including regulatory trials. You will create monitoring tools for tracking live data out in the field that can alert the research associates to any issues, work closely with ML/AI to ensure that incoming data are stored in formats that are easily ingestible and clearly labeled, and work to align datasets with multiple incoming sources of data for analysis by our team. Additionally, you will own the data analysis for our hardware validation studies (heart rate, heart rate variability, and presence), helping to make key go/no-go decisions for the company. You’ll be the connective tissue between our internal teams and the external clinical sites, and can continuously think outside the box to make our studies more efficient for the research associates and data scientists. You will operate at the intersection of data engineering, applied data science, and clinical research by working directly with raw sensor data from all of our products, along with the ground truth data to validate our algorithms to make key product decisions. You will own the end-to-end data lifecycle, from ingestion to analysis to communication. This role is highly cross-functional with hardware, software, product, and research teams. How You'll Contribute Data Engineering & Infrastructure Build and maintain scalable ETL pipelines using Python, SQL, and APIs to ingest and process large-scale biometric and sensor data Design data models and workflows that support clinical studies, internal tools, and downstream analytics Manage data storage, retrieval, and archival systems in AWS, including handling long-term access and data restore workflows Ensure data integrity, reproducibility, and proper versioning across evolving datasets and analyses Leverage AI-assisted tools to accelerate data analysis, debugging, and code development, improving iteration speed and reducing manual effort Clinical Analytics & Algorithm Validation Analyze sleep, physiological, and behavioral datasets to evaluate product performance and validate new features Perform statistical analyses (e.g., correlation, error metrics, bootstrapping, validation frameworks) to assess algorithm accuracy and clinical outcomes Develop evaluation pipelines for metrics like HR/HRV accuracy, presence detection, and sleep staging Build tools and structured datasets to support training and validation of machine learning models, integrating multiple data sources for supervised learning Investigate edge cases, sensor issues, and data anomalies to improve model robustness Internal Tooling & Visualization Maintain and extend Python-based applications for visualizing and annotating biometric data Develop interactive tools for researchers and engineers to inspect sessions, validate signals, and debug algorithms Streamline workflows for clinical teams to reduce manual effort and improve reproducibility Cross-Functional Collaboration & Communication Partner with Machine Learning, Hardware, Firmware, and Product teams to build algorithms and test prototypes Work with Growth and Product teams to explore user behavior and inform feature development Synthesize findings into reports, dashboards, and presentations for internal teams and external audiences Contribute to abstracts, posters, and conference presentations; communicate uncertainty, methodology, and tradeoffs clearly to guide decision-making What You’ll Need to Succeed 2+ years of data engineering experience with health/physiology data in a research context — you’ve built ETL pipelines around messy, real-world biometric or sensor datasets, not just clean CSVs Advanced Python and SQL proficiency — Pandas, NumPy, time-series analysis, and production-quality scripting are daily tools, not occasional ones Intermediate-to-advanced signal processing and biometric data experience — you’ve worked directly with heart rate, HRV, sleep staging, or similar physiological signals from wearable or embedded sensors Intermediate-to-advanced statistical modeling and validation skills — you can design and execute correlation analyses, error metrics, bootstrapping, and validation frameworks independently Working proficiency with AWS and Snowflake — you’ve built or maintained cloud-based data storage, retrieval, and archival systems, not just queried them Bonus Points Experience with clinical or regulatory trial data, familiarity with GCP/ICH guidelines, or prior work supporting FDA submissions Background in ML model validation or building structured training datasets for supervised learning Fluency with AI-assisted development tools (Claude, Cursor, ChatGPT, Copilot) as part of your daily workflow Domain knowledge in sleep science, biometrics, or wearable/embedded sensor data Experience integrating internal and third-party APIs into unified data pipelines Strong cross-functional communication skills — ability to translate complex analyses into clear insights for non-technical stakeholders Compensation Target Base Salary: $110,000 – $130,000 Compensation is based on experience, qualifications, and market benchmarks for the Boston metro area. Equity and performance-based incentives are a significant component of total compensation at Eight Sleep. Why Join Eight Sleep? Innovation in a Culture of Excellence Join us in a workplace where innovation isn't just encouraged - it's a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate Responsibility and Accelerated Career Growth From your first day, you'll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company's trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with Exceptional Talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable Compensation and Continuous Equity Investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you — perfectly aligning your achievements with the broader triumphs of the company. Your Own Pod - and Other Great Benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you'll get your own Pod, along with*: Full access to health, vision, and dental insurance for you and your dependents Supplemental life insurance Flexible PTO Commuter benefits to ease your daily commute Paid parental leave *List of benefits may vary depending on your location At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Job DescriptionPRINCIPAL COMPUTER VISION & TRACKING ENGINEER Catapult is building the future of sports performance technology, with a mission to Unleash the Potential of every athlete and team on earth. We don't just work in the sporting industry; we are actively changing it. Since 2006, our solutions have been leading the way in sports performance software, science, and data, in a world where 1% can literally mean the difference between winning and losing. We work with over 5,000+ teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize athletes' health, game-day readiness, and performance, as well as in-game tactics. Catapult is a sports technology company that empowers professional teams to make data-driven decisions. We deliver health, performance, video, and AI insights from the locker room to competitive environments, ensuring every decision is an opportunity to gain an advantage, sharpen performance, and build lasting success. WE WANT PEOPLE WHO ARE PASSIONATE ABOUT SOLVING HARD PROBLEMS We are looking for a Principal Computer Vision & Tracking Engineer to own and drive the computer vision and real-time tracking systems at the heart of our camera-based products. Based in Boston (hybrid), you will lead a small team building the perception stack that turns vision data into athlete performance insights – from neural network inference on edge AI accelerators, to 3D object tracking, to the data science that validates and extends what our system can measure. Today, that means tracking barbell-based weightlifting with sub-rep precision; tomorrow it means general human movement. This is a role for someone who thrives on breadth. In any given week, you might be optimizing a model for edge inference, designing a new movement analysis algorithm, or analyzing data to produce athlete profiles. You'll report to a Senior Director of Engineering and player-coach a small pod of engineers while collaborating closely with our embedded platform and applications teams. If you've built real-time perception systems that had to work reliably in the real world – on real hardware, with real constraints – this is your kind of problem. WHAT YOU'LL DO • Own the technical direction of our computer vision and tracking domain: the full pipeline from sensor readings through computer vision, motion recognition, and metric calculation., • Lead and mentor a small team (1–2 engineers), setting priorities, reviewing designs, and driving execution while remaining deeply hands-on., • Train, optimize, and deploy neural networks for real-time segmentation and classification on embedded hardware, including model conversion and optimization for edge accelerators., • Extend our tracking and motion recognition pipeline to support new movements and types of analysis., • Own the reliability of the domain: analyze tracking accuracy, build quality metrics, and use data to drive improvements across the pipeline.WHAT YOU'LL NEED, • 8+ years of software engineering experience, with significant depth in at least one of: computer vision, real-time systems, ML/AI deployment, or robotics perception., • Strong proficiency in Python and C/C++ – you're comfortable across the full stack from model training to performance-critical native code., • Demonstrated experience shipping ML or CV systems to production, especially on resource-constrained or embedded platforms., • The ability to own ambiguous problems end-to-end: scoping, prototyping, shipping, and measuring., • Comfort with leadership: you've mentored engineers, led technical direction, or driven cross-team initiatives, even if your title didn't say "lead." Nice to have – and what would make you exceptional: • Deeper knowledge of the mathematics behind tracking systems: 3D geometry, camera models, state estimation, filtering, optimization., • Experience with edge AI accelerators and inference optimization libraries., • Background in pose estimation, human movement analysis, or biomechanics., • Experience with depth cameras (structured light, time-of-flight) and 3D perception., • Familiarity with embedded Linux, Docker on ARM, and systems-level debugging.WHAT YOUR SUCCESS WILL LOOK LIKE, • In 6 months time… You have shipped at least one meaningful improvement to detection or tracking quality, and you have a deep understanding of the tracking system and how we might extend it., • In 12 months time… You've driven the roadmap for expanding our vision system to new movement types. The team is running well, and you're the go-to person across the company for anything related to how our camera system sees and understands athletes.WHY CATAPULT?, • We have amazing people. We promise you'll work with some of the most ambitious, intelligent people in an exciting industry, and do some of the best work of your life., • We encourage our people to engage in constructive, open, and honest communication to make Catapult extraordinary., • We work in a collaborative yet challenging environment to consistently improve our performance, which in turn impacts our customers' performance., • Our workforce spans more than 20 countries. You'll have the opportunity to work with people from multiple nationalities and cultures, and to build your global awareness., • We value improvement and development. We are challenging ourselves to continuously grow and become a high-performance company. That means we maintain a growth mindset in everything we do, and our people are always looking for ways to improve. There is an unlimited opportunity to grow, do more, and do better. Whether you're interested in sports or not, you'll have the satisfaction of knowing your work is supporting some of the most successful teams and athletes on the planet! Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalized groups tend only to apply when they check every box. So if you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team. We are building the future of sports performance. Our priority is to find the brightest talent who can add to our team culture, actively contribute, and be excited about what they do. Compensation & Benefits The target Total Compensation range for this position is $140,625 - $281,250 per year. This range is inclusive of base salary and a target incentive plan (which may include equity, commission, or other bonus structures). Your specific compensation within this range will be determined by factors such as your geographic location, relevant experience, and job-related skills. In addition to this compensation, Catapult also offers generous paid leave and recognized company holidays, and the opportunity to participate in our comprehensive benefits package, including Health, Dental, and Vision insurance, and 401(k) retirement plan with company match. All offers of employment are subject to Catapult's positive prehire check. To find out more, please contact the Talent Partner for this role.

Job DescriptionCompany Overview Lydian is developing the lowest cost sustainable fuels from waste CO2, water, and renewable electricity to decarbonize the aviation industry. Our breakthrough technology replaces oil and gas refining with fully electrified, modular, and flexible reactor systems that produce fuel with 95% lower emissions than traditional jet fuel. Since our founding in 2021, Lydian has achieved key milestones in record time, including the production of our first liquid fuel from our pilot system, capable of producing ~10,000 gallons of fuel per year for a fraction of the capital and time of alternative approaches. Lydian is backed by top climate investors including Congruent Ventures, Galvanize Climate Solutions, Union Square Ventures, Voyager Ventures, Grok Ventures, and Overture. We are building a motivated, diverse, and collaborative team that is passionate about addressing the growing climate crisis and is committed to excellence in their work. In particular, we look for tenacious people who are energized by solving the hardest, highest impact problems that come their way. Position Overview Lydian is hiring for a Staff Controls & Automation Engineer that will design, build, and own a state-of-the-art controls architecture for our novel chemical process. You will begin with designing and implementing a sophisticated, operator-friendly control system on our pilot plant, but your ultimate goal is to enable an automated, remote operation of our plants at every scale. The ideal candidate is intimately familiar with classical control and automation equipment but also possess the skills and experience to push beyond PLCs, and integrate advanced control techniques into a robust and maintainable control system. Responsibilities Control Architecture & System Design Architect the full control stack for pilot → demo → commercial plants, including PLCs, safety PLCs, SCADA/HMI, historian, networking, alarm philosophy, and mode/state logic Define a clear hierarchy linking base control, supervisory control, and advanced control (state estimation, MPC) Pilot Plant Automation & Implementation Develop structured, modular control logic in PLCs and safety PLCs, including reusable AOIs/function blocks for valves, heaters, compressors, and reactors Own interlocks, permissives, fail-safe behavior, alarm logic, and safety instrumented functions Implement robust state-based control, including state estimators to infer unmeasured internal process variables and stabilize noisy measurements Build inferential “soft sensors” for reactor states, product composition, and equipment health. Implement diagnostics and anomaly/fault detection Advanced Controls Over time, validate and tune advanced controllers through simulation, staged deployment, and coordinated field commissioning Identify multivariable, constraint-heavy loops suitable for MPC or other model-based controllers and implement MPC in a suitable environment Leadership & Cross-Functional Collaboration Work with external software vendors and other team members to build analysis and tuning tools to support R&D campaigns, long-term performance evaluation, and algorithm refinement Develop simulation or digital-twin models to safely prototype new control strategies Collaborate with process, mechanical, electrical, and operations teams to translate process requirements into robust, maintainable control logic Support commissioning, plant bring-up, troubleshooting, and continuous optimization Drive rigorous version control, documentation, and management-of-change practices Qualifications Bachelor's Degree with 10+ years of experience designing and owning automation systems for continuous chemical or energy processes Strong foundation in control theory, process dynamics, multivariable interactions, and constraint management Practical experience with state estimation and inferential sensing Hands-on deployment of MPC or other model-based controllers on real industrial systems Expertise with PLC platforms and SCADA/HMI systems Deep experience with interlocks, permissives, safety logic, shutdowns, and high-temperature/high-pressure/flammable gas systems Ability to make advanced control practical and easy to understand Experience with thermochemical systems, especially catalytic systems Experience integrating advanced control with DCS platforms (DeltaV, PCS7, Honeywell Experion, Yokogawa Centum) Familiarity with Python or similar tools for prototyping estimation and control algorithms. Experience in FOAK hardware or fast-moving industrial startup environments where flexibility and autonomy are required Company culture and benefits Challenging, collaborative, and meaningful work and an important voice in company development Competitive salary commensurate with experience Meaningful equity compensation Generous PTO and expectation that all employees take significant time off to rest, recharge, and enjoy life outside work Excellent health insurance with 100% of healthcare, vision and dental premiums covered 401(k) with company match Compensation Range: $160K - $200K

Job DescriptionCompany Description Boston Engineering is a technology-driven consulting firm that provides innovative engineering solutions to commercial and government clients. Headquartered in Waltham, Massachusetts, Boston Engineering specializes in product development, systems engineering, and technology commercialization, leveraging deep expertise in robotics, digital solutions, medical devices, diagnostic equipment, defense systems, and industrial automation. The company integrates advanced technologies with practical engineering execution, delivering end-to-end services from concept through commercialization. Boston Engineering combines technical rigor, cross-disciplinary teams, and proven processes to accelerate product development and to solve complex challenges. The company is ISO-certified and CMMC-certified, with a commitment to operational excellence, innovation, and measurable client outcomes. Its mission is to improve the way people work and live through innovative product development and novel engineering. Job Description Boston Engineering seeks a Senior Electrical Engineer with strong experience in embedded systems hardware design, advanced motor control, and FPGA development. This role is hands-on and design-focused, responsible for architecting and delivering robust embedded and control solutions across a wide range of client products and mission-critical systems. The ideal candidate brings depth in PCB design for embedded systems, field-oriented motor control (FOC), and FPGA development using Verilog, and is comfortable owning designs from concept through prototype, test, and production. You will work closely with mechanical, software, and systems engineers to develop integrated product solutions in a fast-paced consulting environment. This role is restricted to US persons (i.e., US citizens, permanent residents, and other protected individuals under the Immigration and Naturalization Act, 8 USC 1324b(a)(3)) due to access to export-controlled technology. Boston Engineering will require proof of status prior to employment. Your Key Responsibilities • Designing and developing embedded electronic hardware, including mixed-signal PCB design for control, sensing, and power electronics, • Architecting and implementing advanced control systems, including motor control algorithms such as FOC, PID control, feedback loops, and real-time sensor integration, • Designing motor drive electronics, power stages, gate drive circuitry, and current/position sensing for BLDC, PMSM, and related motor types, • Developing and debugging FPGA-based designs using Verilog, including interfaces, timing-critical logic, and hardware acceleration where appropriate, • Collaborating with firmware, FPGA, mechanical, and systems teams to integrate embedded electronics into larger product architectures, • Performing system-level bring-up, testing, debugging, and optimization of embedded hardware, control systems, and FPGA designs, • Working with embedded communication interfaces and protocols, including I2C, SPI, UART, CAN, and other industry-standard buses, • Developing and validating control algorithms through analysis, simulation, and hardware testing, • Producing clear and thorough technical documentation, including requirements, schematics, design reviews, test plans, and verification reports, • Ensuring designs meet applicable safety, EMC, regulatory, and quality requirements throughout the product development lifecycle. Your Experience • Minimum of seven plus years of professional experience in embedded electrical engineering, preferably in a product development or consulting environment, • Strong experience with PCB design for embedded systems, including schematic capture, layout oversight, component selection, and design for manufacturability, • Demonstrated experience designing and implementing motor control systems, including field-oriented control (FOC), • Experience developing FPGA designs in Verilog, including simulation, synthesis, and hardware debug, • Proficiency in embedded C/C++ for microcontrollers and processors supporting real-time control and hardware interaction, • Experience with hardware/software/FPGA integration and debugging at the system level, • Familiarity with RTOS concepts and real-time embedded system constraints, • Strong understanding of power electronics, signal integrity, grounding, and EMI/EMC considerations Preferred Skill Set • Experience with robotics, electromechanical systems, or motion control applications, • Familiarity with MATLAB/Simulink for control modeling and algorithm development, • Experience with wireless communication technologies (Bluetooth, Wi-Fi, etc.), • Knowledge of functional safety or industry standards (e.g., IEC 61508 or related), • Experience supporting products through verification, validation, and transition to manufacturing Qualifications, • Bachelor's degree in electrical engineering, computer engineering, or a related field (Master’s degree preferred), • Proven ability to lead technical efforts, mentor junior engineers, and contribute to design reviews and system architecture decisions, • Strong analytical and troubleshooting skills, with a hands-on, problem-solving mindset, • Excellent written and verbal communication skills, including client-facing technical discussions, • Familiarity with modern development tools, debuggers, version control systems (e.g., Git), and documentation practices, • Strong understanding of power electronics, signal integrity, grounding, and EMI/EMC considerations This role is restricted to US persons (i.e., US citizens, permanent residents, and other protected individuals under the Immigration and Naturalization Act, 8 USC 1324b(a)(3)) due to access to export-controlled technology. Boston Engineering will require proof of status prior to employment. Additional Information Employment Type: Full-Time Role Reports to: Director, Electrical Engineering Location: Office-based role in Waltham, Massachusetts Relocation: Relocation assistance is not provided for this role. Travel: Up to 5% travel Salary Range: The base salary range for this position is $130,000 to $160,000 annually, commensurate with experience and qualifications. The final offer amount will be determined by factors such as the candidate’s education, knowledge, experience, and skills. A comprehensive benefits package, including health insurance, 401(k) match, and paid time off, is also provided. Your application will not be considered complete without a submitted writing sample. All your information will be kept confidential according to EEO guidelines.

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 DescriptionOur Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components. As a Senior Staff ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects.Responsibilities • Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time, • Build multi-modal foundation models for on-vehicle and offline applications, • Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems, • Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field, • Provide technical mentorship to the broader group of ML developers at Zoox, • Collaborate with engineers on Prediction, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environmentsQualifications, • BS, MS, or PhD degree in computer science or related field, • Experience with training and deploying Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines, • Experience with modern computer vision techniques, • Strong mathematical skills and understanding of probabilistic techniques, • Fluency in C++ or Fluency in Python with a basic understanding of C++, • Extensive experience with programming and algorithm design-Strong mathematics skillsBonus Qualifications, • Publications in your field (CVPR, ICCV, RSS, ICRA preferred), • Experience with autonomous robots, • Experience with realtime sensor fusion (e.g. LiDAR, camera, radar), • Experience with novel pipelines and architectures for convolutional neural nets, • Experience with 3D data and representations (pointclouds, meshes, etc.)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 Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: The SAAM group is seeking a Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development. What you will do: • Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles, • System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed, • System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure, • Customer Engagement: support and brief customers throughout the program lifecycle Who you are: • Self-motivated with demonstrated ability to excel under limited guidance, • Strong object-oriented programming skills in modern C++, • Proficient in test-driven development and CI/CD practices, • Experience with cross-platform development (Windows, Linux, iOS) and version control workflows, • Proficiency in MATLAB and/or Python, • BS with 2+ years experience or MS in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field, • Ability to obtain and maintain a security clearance, for which U.S citizenship is needed by the U.S government Even Better: • Active Secret or Top Secret security clearance, • 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA, • Experience with radar or EO/IR systems, • Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications, • Experience with software quality tools (static/dynamic analysis, automated testing frameworks) Pay Information Full-Time Salary Range: $111,000 - $140,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description About the Team: The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies. EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us. The Role: As a Lead Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more. What You Will Do: • Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges, • Design and implement models and simulations for advanced RF systems, • Lead small teams and projects, • Support business development and proposal writing efforts, • Collaborate with diverse teams to deploy cutting-edge capabilities to prototype systems Who You Are: • This position requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government, • BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline, • 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years), • Experience in two or more of the following areas:, • RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modelling, or RF systems prototyping, • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++, • Strong mathematical, troubleshooting, written, and verbal communication skills Even Better: • Active Security Clearance, • Experience with:, • RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures techniques and algorithms, • Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow, • Interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution, • Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems, • Ability to create and present briefings to customers and senior management to provide both high-level and deep technical solution explanations Pay Information Full-Time Salary Range: $157,000 - $220,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. We have a particular focus on airborne/surface/space-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. We work on full system prototypes, experiment campaigns, and next generation technology components. Specific technical areas include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, autonomous systems, as well as real-time embedded processor implementation. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation (M&S) to analyze system capabilities, develop enabling algorithms, and take these integrated systems through test. We focus on the capabilities and limitations of ground, air, surface, and space sensing and counter-sensing platforms and the resource management of these assets to assure the survivability of US air and space assets. SAAM also leverages the emerging use of autonomy and Artificial Intelligence in uncrewed systems and techniques to collect, fuse, and understand sensor data across full systems of systems to assure mission success. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto both prototype demonstration systems & operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs. The Role: The SAAM group is seeking a Senior Software Engineer to join high-performing teams transforming advanced concepts and algorithms into software implementations for prototypes and operational systems. You will work with scientists and engineers to design and implement algorithmic solutions to challenging national security problems. You will be responsible for enhancing the software architecture required to implement advanced algorithms in real-time hardware. You will also contribute to the development of engineer-facing tools and processes to facilitate long-term software development. What you will do: • Collaboration: work as part of a small, focused team to implement and test real-time applications featuring open architecture software principles, • System Development: leverage mature hardware systems and develop code to integrate them together, collaborating with SMEs across STR to leverage advanced algorithms where needed, • System Test: work closely with test leads in the SAAM group to leverage testing capabilities across M&S and live test, leveraging Live-Virtual-Constructive (LVC) infrastructure, • Customer Engagement: support and brief customers throughout the program lifecycle Who you are: • Self-motivated with demonstrated ability to excel under limited guidance, • Strong object-oriented programming skills in modern C++, • Proficient in test-driven development and CI/CD practices, • Experience with cross-platform development (Windows, Linux, iOS) and version control workflows, • Proficiency in MATLAB and/or Python, • BS with 5+ years experience or MS with 3+ years experience in Computer Science, Computer Engineering, Applied Mathematics, Electrical Engineering, or related field, • Ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government. Even Better: • Active Secret or Top Secret security clearance, • 2+ years of experience with open architecture systems such as OMS/UCI and A-GRA, • Experience with radar or EO/IR systems, • Familiarity with real-time algorithm optimization, especially for radar or remote sensing applications, • Experience with software quality tools (static/dynamic analysis, automated testing frameworks) Pay Information Full-Time Salary Range: $139,000 - $180,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description About the Team: The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies. EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us. The Role: We are looking for a Principal Engineer to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more. You will lead projects and proposal efforts, lead and advise fellow researchers, scientists, and engineers on multi-disciplinary teams spread across multiple STR campuses. You will seek to understand customer missions, and in turn, construct proposal and program plans to meet their current and future needs. What you will do: • Engage directly with customers to understand their unique requirements and national security needs, and shape our solutions to meet their objectives, • Lead projects and multi-disciplinary teams, • Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges, • Support business development initiatives and lead writing efforts, playing a key role in shaping the future direction of our projects and organization Who You Are: • This position requires the ability to obtain a security clearance, for which U.S. citizenship is needed by U.S. Government., • BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline, • 10+ years of relevant work experience or equivalent experience dependent on degree (PhD +5 years or MS +8 years), • Experience on EW or Radar programs, including the development of sensor system modes and advanced signal- and data-processing algorithms from mathematical/analytical derivation through testing and verification of system performance, • Expertise in two or more of the following areas:, • RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, model & simulation, systems engineering, test engineering, radar modelling, or RF systems prototyping, • Experience providing technical briefs to subcontractors, senior level executives, and customers, • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++, • Experienced researcher and team member who is excited to work with mission partners to leverage cutting-edge technology and research for immediate impact, • Excellent communicator and briefer, who is comfortable communicating with both technical and non-technical audiences, • Strong mathematical, troubleshooting, written, and verbal communication skills Even Better: • Active Secret or TS/SCI Clearance, • Demonstrated leadership of complex research, development, and engineering efforts, • Experience with:, • Radar and RF technologies in the defense sector, particularly for RF sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, radar signal processing, optimization, and advanced ESM techniques and algorithms, • Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow, • Interacting with decision-makers and customers to translate mission needs into an end-to-end solution, • Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems Pay Information Full-Time Salary Range: $206,000 - $284,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Founded in 2011 by graduates of Massachusetts Institute of Technology (MIT) and Rhode Island School of Design (RISD), RISE Robotics is a high-growth technology company backed by The Engine, a Tough Tech venture capital fund built by MIT, Greentown Labs, and Techstars. RISE Robotics is leading the way to Zero Emission heavy machinery by providing the world's most efficient and productive alternative to hydraulics. We specialize in fostering dynamic partnerships with Tier 1 suppliers, OEMs, and the US Department of Defense, pioneering the transition from traditional hydraulic systems to more efficient and sustainable solutions. As a Senior Embedded Software Engineer, you'll play a pivotal role in the development and enhancement of the software that powers our robotic lifting solutions. You'll collaborate with cross-functional teams, contribute to the design and implementation of critical software components, and ensure the reliability and performance of our systems. Why This Role Matters As a pivotal member of the RISE Robotics Engineering organization, your contributions will shape the future of our company, spearheading the engineering effort to implement electronic controls of truly massive machines. Our dynamic and expanding team is ready to embrace your talent and ideas as we work together to redefine the way we operate. If you're passionate about motion control technology and thrive in a fast-paced, innovative environment, we want you to be a part of our journey. Join us and make your mark on the world of embedded software engineering! Key Responsibilities • Embedded Software Development: Design, develop, and maintain embedded software for our robotic lift systems, ensuring performance, reliability, and safety., • System Integration: Collaborate with hardware engineers to integrate software with the RISE platform's electrical and mechanical components., • Algorithm Development: Create and optimize control algorithms for precise and efficient robotic lifting operations., • Real-time Systems: Develop and implement software for real-time control, feedback systems, and sensor integration., • Testing and Debugging: Conduct thorough testing of software to identify and resolve issues, ensuring reliable and robust operation., • Documentation: Maintain comprehensive documentation for software design, development, and testing processes., • Collaboration: Work closely with cross-functional teams, including mechanical engineers, electrical engineers, and application specialists, to achieve project goals. Requirements • 5+ years of electromechanical product software development in C, C++, and Python, • Experience with controls, brushless DC motors, and motion control systems, • Demonstrated ability to operate independently, executing on requirements to produce robust and well-documented software modules, • Familiarity with common embedded communications interfaces: CAN, SPI, I2C, UART, • Ability to read and understand complex technical literature such as datasheets, schematics, and production process diagrams Benefits • Competitive compensation package, • Equity!, • Blue Cross Blue Shield Health insurance, • Dental, Life, and Disability insurance, • 401(k) program, • PTO and office holidays, • Flexible/hybrid work options, • Weekly {free} lunch, • Free parking/T accessible, • Located in Union Square RISE Robotics is an equal-opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.

Job DescriptionFounded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and 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.

Job Description WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team is responsible for developing novel algorithms and features that expand our health sensing capabilities. Our work spans several key areas, including women's health, software as a medical device, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. As a Staff Machine Learning Engineer on our Clinical Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health insights to millions of members. You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure—deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. A central part of this role is collaborating with crossfunctional teams that own regulatory, quality, and clinical strategy, to ensure our algorithms are developed with the rigor required for regulated software. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML services within a quality-managed framework. RESPONSIBILITIES: Design, build, and maintain production services that deliver health features, in close collaboration with Applied ML Scientists and ML Research Engineers. Collaborate with Data Platform teams to improve ML data pipelines, tooling, and validation systems that support robust model performance. Work alongside Applied ML Scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency. Partner with the Digital Health team on algorithmic performance specifications, validation and verification planning, and the design of SPA or algorithm validation studies. Collaborate with researchers and product teams to align model development with health insights and member impact. Participate in on-call rotations for data science services, ensuring uptime and performance in production environments. QUALIFICATIONS: Bachelor's degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master's preferred). 7+ years of professional experience as a Machine Learning Engineer or Software Engineer building production ML systems. Proven experience working with time series data (wearable, physiological, or high-frequency sensor data preferred). Experience designing, deploying, and operating ML inference systems at scale (real-time streaming and/or large-scale batch). Strong coding skills in Python with a track record of writing clean, well-tested, production-quality code. Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models. Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices. Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems. Experience developing ML-enabled software in a regulated or quality-managed environment (SaMD or medical device), with working knowledge of change control, quality documentation, traceability, and verification/validation practices. Demonstrated technical leadership through architecture and design ownership, setting engineering standards, and raising quality through reviews and mentorship. Proven track record driving measurable improvements in system performance, reliability, and/or cost at scale, and influencing cross-functional technical direction. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000-$230,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Job Description As a Principal Embedded Software Engineer, you'll play a pivotal role in the development and enhancement of the software that powers our robotic lifting solutions. You'll collaborate with cross-functional teams, contribute to the design and implementation of critical software components, and ensure the reliability and performance of our systems. This position is a hybrid role with 4 days/week in Somerville, MA. Why This Role Matters As a pivotal member of the RISE Robotics Engineering organization, your contributions will shape the future of our company, spearheading the engineering effort to implement electronic controls of truly massive machines. Our dynamic and expanding team is ready to embrace your talent and ideas as we work together to redefine the way we operate. If you're passionate about motion control technology and thrive in a fast-paced, innovative environment, we want you to be a part of our journey. Join us and make your mark on the world of embedded software engineering! Key Responsibilities • Embedded Software Development: Design, develop, and maintain embedded software for our robotic lift systems, ensuring performance, reliability, and safety., • System Integration: Collaborate with hardware engineers to integrate software with the RISE platform's electrical and mechanical components., • Algorithm Development: Create and optimize control algorithms for precise and efficient robotic lifting operations., • Real-time Systems: Develop and implement software for real-time control, feedback systems, and sensor integration., • Testing and Debugging: Conduct thorough testing of software to identify and resolve issues, ensuring reliable and robust operation., • Documentation: Maintain comprehensive documentation for software design, development, and testing processes., • Collaboration: Work closely with cross-functional teams, including mechanical engineers, electrical engineers, and application specialists, to achieve project goals. Requirements • 5+ years of electromechanical product software development in C, C++, and Python, • Experience with controls, brushless DC motors, and motion control systems, • Demonstrated ability to operate independently, executing on requirements to produce robust and well-documented software modules, • Familiarity with common embedded communications interfaces: CAN, SPI, I2C, UART, • Ability to read and understand complex technical literature such as datasheets, schematics, and production process diagrams Benefits • Competitive compensation package including equity, • Blue Cross Blue Shield Health insurance, • Dental, Life, and Disability insurance, • 401(k) program, • PTO and office holidays, • Flexible/hybrid work options, • Weekly {free} lunch, • Free parking/T accessible, • Located in Union Square RISE Robotics is an equal-opportunity employer that values diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply.

Job Description As a Staff Software Engineer on our Clinical Health team, you will design, build, and operate the production systems that deliver personalized health insights to millions of WHOOP members. You will work at the intersection of machine learning, backend engineering, cloud infrastructure, and software as a medical device (SaMD), building scalable, reliable, and observable services that power health features derived from physiological and behavioral data. In this role, you will partner closely with Applied ML Scientists, ML Research Engineers, and Digital Health teams to translate novel algorithms and research prototypes into production-grade systems. You will provide technical leadership across ML infrastructure, inference services, data pipelines, and platform architecture, ensuring our health algorithms can be deployed, monitored, validated, and operated at scale within a quality-managed environment. This role is ideal for engineers with deep experience building distributed systems and production platforms who are excited to apply those skills to machine learning-powered healthcare products. RESPONSIBILITIES WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team is responsible for developing novel algorithms and features that expand our health sensing capabilities. Our work spans several key areas, including women's health, software as a medical device, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. As a Staff Software Engineer, Machine Learning on our Clinical Health team, you will design, build, and operate the production systems that deliver meaningful, personalized health insights to millions of members. You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure—building scalable, reliable, and observable services that power health features derived from physiological and behavioral data streams. A central part of this role is partnering with Applied ML Scientists, ML Research Engineers, and Digital Health teams to translate novel algorithms and research prototypes into production-grade systems. This role emphasizes distributed systems design, backend engineering excellence, platform thinking, and operational rigor. You will help define the architecture, tooling, and infrastructure required to deploy, validate, monitor, and operate ML-powered health features within a quality-managed framework. RESPONSIBILITIES: • Design, build, and maintain production services that deliver health features, in close collaboration with Applied ML Scientists and ML Research Engineers., • Lead the architecture and development of scalable ML inference systems, APIs, and backend services optimized for reliability, latency, and cost efficiency., • Collaborate with Data Platform teams to improve ML data pipelines, tooling, feature delivery systems, and validation frameworks that support robust model performance., • Work alongside Applied ML Scientists to translate research prototypes into production systems that can be deployed, monitored, and operated at scale., • Partner with the Digital Health team on algorithmic performance specifications, validation and verification planning, and the design of SPA or algorithm validation studies., • Drive operational excellence through monitoring, observability, incident response, and reliability improvements for ML-powered services., • Collaborate with researchers, product teams, and engineering stakeholders to align platform investments with health insights and member impact., • Participate in on-call rotations for ML and data services, ensuring uptime, performance, and reliability in production environments., • Provide technical leadership through architecture reviews, engineering standards, mentorship, and cross-functional collaboration.QUALIFICATIONS:, • Bachelor's degree in Computer Science, Software Engineering, Data Science, Applied Mathematics, or a related field (Master's preferred)., • 7+ years of professional experience as a Software Engineer, Machine Learning Engineer, Platform Engineer, or related role building large-scale distributed systems and/or production ML platforms., • Strong coding skills in Python with a track record of writing clean, well-tested, production-quality code., • Strong fundamentals in backend and service development, including APIs, distributed systems, reliability, monitoring, debugging, and performance optimization., • Experience designing, deploying, and operating ML inference systems at scale (real-time streaming and/or large-scale batch)., • Experience building and maintaining distributed systems, event-driven architectures, or high-throughput data processing platforms., • Experience deploying and operating services on cloud platforms (AWS or GCP), including Kubernetes, CI/CD pipelines, infrastructure automation, and observability tooling., • Experience partnering with data science or machine learning teams to productionize models, algorithms, and data-driven features., • Familiarity with applied machine learning concepts, model evaluation, experimentation, and performance validation., • Experience processing time-series, streaming, sensor, wearable, physiological, or other high-volume data sources is preferred., • Experience developing software in a regulated or quality-managed environment (SaMD, medical device, healthcare, fintech, or similarly regulated domains) is a plus., • Demonstrated technical leadership through architecture and design ownership, setting engineering standards, and raising quality through reviews and mentorship., • Proven track record driving measurable improvements in system performance, reliability, scalability, and/or cost at scale, while influencing cross-functional technical direction.This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000-$230,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Location: US or Canada Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth. We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time. Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact. Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down. We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation. And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same. At Human Agency, we are shaping the future by combining cutting-edge AI solutions with intuitive software development. We specialize in building scalable and secure SaaS applications that empower enterprise clients to solve complex problems efficiently. As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering. We’re seeking a Senior Full-Stack Engineer to join our growing team. In this role, you'll lead development initiatives, contribute to our SaaS products, and tackle exciting challenges in backend architecture, frontend design, and AI/ML integrations with a particular focus on generative AI technologies. SaaS Application Development • Detection:, • Develop backend algorithms to process articles, chunk content, and integrate with LLMs for predictive text generation., • Build APIs and services to manage and scale the application’s content workflow., • Protection:, • Create secure PDF upload workflows with encryption to ensure compatibility with Adobe Acrobat., • Integrate authentication mechanisms like Okta for enterprise customer admin management., • Enable data recovery, auditing capabilities, and enterprise-grade administrative tools. AI/ML and Algorithm Development • Collaborate with AI/ML teams to operationalize models such as OCR (Optical Character Recognition) and generative AI-based solutions (e.g., GPT models)., • Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding techniques to enhance application functionality., • Design workflows for large-scale data processing that enable efficient AI integrations and create dynamic AI-first features, such as custom GPTs tailored to enterprise needs. DevOps & Operationalization • Establish CI/CD pipelines and formal release structures for software delivery., • Conduct security evaluations to identify vulnerabilities and optimize performance across AI-driven SaaS applications., • Manage infrastructure and workflows for custom AI solutions, including tools like Snowflake and LangChain. Future-Focused Development • Build integrations and proof-of-concept applications leveraging company-specific datasets and AI technologies., • Evaluate and implement tools for classification, indexing, and secure data management that incorporate the latest in generative AI advancements., • Support the development of enterprise-grade AI solutions, including internal AI models and custom LLMs. Core Technical Skills • Proficiency in Python and Ruby on Rails, with significant backend experience., • Experience in designing secure systems, including encryption workflows and document protection mechanisms., • Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications., • Strong knowledge of RAG techniques, vector databases (e.g. Pinecone, Weaviate), and embedding pipelines., • Ability to operationalize AI/ML models and build workflows for enterprise clients., • Frontend development experience in modern frameworks (e.g, React, Vue), with the ability to assess and recommend appropriate tech stacks. Nice-to-Have Skills • Computer vision and OCR expertise, especially for processing and indexing complex document workflows., • Experience with authentication systems (e.g., Okta) and enterprise administrative tools., • Experience in DevOps, CI/CD pipelines, and secure release management., • Background in security evaluations, vulnerability assessments, and tool integrations. Other Requirements • Strong testing background with experience in automated and manual testing., • Ability to manage data recovery, audits, and compliance workflows., • Strong problem-solving and analytical skills, with attention to detail in complex environments., • Excellent communication skills and the ability to work collaboratively across teams., • Be part of a cutting-edge team solving complex problems in AI and SaaS development., • Work on impactful projects with enterprise clients and cutting-edge technologies., • Grow your career in a collaborative, innovative, and supportive environment. If you're excited about working on secure, scalable systems while integrating advanced AI and ML capabilities, we’d love to hear from you. Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Zoox is looking for a software engineer to join our Perception team and help us build novel architectures for classifying and understanding the complex and dynamic environments in our cities. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components. We're looking for engineers with advanced degrees and experience building perception pipelines that work with real data in rapidly changing and uncertain environments. \n Qualifications • Master's degree or PhD in computer science or related field, • Fluency in C++, • Experience with modern computer vision techniques, • Extensive experience with programming and algorithm design, • Demonstrated ability to create functional realtime systems that solve difficult perception tasks, • Experience handling large data sets efficiently, • Strong mathematical skills and understanding of probabilistic techniques Bonus Qualifications • Publications in your field (CVPR, ICCV, RSS, ICRA preferred), • Experience with autonomous robots, • Experience with realtime sensor fusion (e.g. LiDAR, camera, radar), • Experience with novel pipelines and architectures for convolutional neural nets, • Experience with 3D data and representations (pointclouds, meshes, etc.) \n Compensation There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $160,000 to $265,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience. 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 Zoox Zoox 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. _ Accommodations If 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.

Overview: Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com. Job Description Summary: Draper is seeking a senior embedded‑software professional to lead the development of high‑performance, fault‑tolerant flight software for resource‑constrained platforms across air, space, undersea and hypersonic domains. The Senior Engineer will own the end‑to‑end software lifecycle-from requirements analysis and algorithm design through implementation, verification and documentation-while applying a "security‑by‑design" mindset. In addition to classic embedded duties, the role will incorporate lightweight DevSecOps practices such as automated builds, continuous integration testing, static code analysis, and basic security hardening to ensure that every release meets Draper's rigorous safety and security standards. The ideal candidate brings 5‑10 years of real‑time C/C++ (or Rust) development for aerospace‑grade hardware, strong analytical/problem‑solving skills, and the ability to mentor junior engineers and collaborate closely with hardware, systems and cyber‑security teams. A bachelor's degree in Computer Science, Computer/Electrical Engineering (or equivalent) and the ability to obtain a Secret clearance are required. Job Description: Duties/Responsibilities Evaluates requirements, proposes solutions, explores design trades to support a design. Designs algorithms using modern theory and proven techniques. Develops embedded software based on prototype algorithms with supervision. Analyzes designs to demonstrate performance and functionality. Develops and executes software tests to check compliance with requirements. Evaluates results to establish problem causes and develop solutions for inefficient or problems. Prepares technical data, procedures, reports, drawings, manuals, and other required documentation. Communicates with customers and stakeholders to establish requirements and describe the design and deliverables. Drive solutions to complex problems with limited direction - contribute to requirements development and architecture solution ideation. Ability to take responsibility for subset of engineering scope. Identify program/system-level technical risks and develop and execute mitigation strategies for them. Actively mentor less experienced engineers. Performs other duties as assigned. Skills/Abilities Excellent development and troubleshooting skills on embedded targets. Excellent knowledge of OS coding techniques٫ IP protocols٫ interfaces and hardware subsystems. Expertise in software development for real-time systems. Mastery of high level development languages (e.g. C/C++, Rust) Excellent organizational skills and attention to detail. Strong analytical and problem-solving skills. Knowledge of software configuration management tools٫ defect tracking tools٫ and peer review processes. Excellent time management skills with the proven ability to meet deadlines. Excellent verbal and written communications skills. Experience with UML/SysML. Experience with in-circuit emulators, JTAG debuggers and laboratory test equipment. Education Requires a bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering. Experience Requires 5-10 years experience in Software Engineering or related. Additional Job Description: Applicants selected for this position will be required to obtain and maintain a government security clearance. Security clearance is preferred. Connect With Draper for Future Opportunities! If you don't find the right posting in our Career Opportunities, you may submit your resume for future consideration. Job Location - City: Cambridge Job Location - State: Massachusetts Job Location - Postal Code: 02139-3563 The US base salary range for this full-time position is $82,300.00 - $220,000.00 Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits. Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now www.draper.com/careers. Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.

OUR MISSION Generate is a Boston-based MIT-spin off technology company with the mission to digitize one of the world’s largest and least digital industries: the 12-trillion-dollar Architecture, Engineering, and Construction (AEC) sector. We are bringing the many innovations and techniques from state-of-the-art gaming technology (like Proceduralism, GPGPU, Real-Time Graphics, and more) into transforming how the AEC sector designs and builds. When implemented at scale, our technology can help tackle the global climate and housing crises by accelerating the deployment of cost-effective, sustainable building materials and systems. Our team is seeking an experienced Unreal Engine C++ Software Engineer to develop and deploy the technology at scale. YOUR ROLE In this role, you will: • Work as part of a small development team in a lean engineering environment on incremental releases of design software with a planned public launch in Q4 2022. You will make significant contributions to the software's structure and features with a laser focus on providing a fluid, game-like, user-centric design experience., • Contribute to significant aspects of the product development process — data structures, algorithm design, computational geometry, procedural geometry generation, history systems, inferencing and constraint systems, and building information modeling systems, runtime procedural construction system generation, runtime procedural building facades and interiors, custom compute based rasterization in Unreal Engine, and Houdini-esque building design tools., • Contribute expertise and intuition to monthly feature development workshops, bi-weekly sprint planning meetings, and quick daily standups., • Engage in open-ended workshop sessions, to help the product get from "a user wants to do X" to "here is how we will implement X, given our product architecture.", • Collaborate with our small, cross-functional team of game developers, architects, and product designers to develop innovative solutions to creating and generating buildings (walls, floors, windows, doors, beams, columns, furniture, etc.). REQUIREMENTS • Deep, intuitive understanding of Unreal Engine 4 (mandatory)., • Deep, intuitive understanding of C++ and modern software design principles., • Track record in the software, technology, or game industries., • Experience building and shipping successful games or products., • Comfort with the lean product development process in a startup environment: including regular pivots, difficult choices about resource prioritization, and an emphasis on product-market fit., • A drive to understand and solve complex problems with novel, creative, and practical solutions., • Self-motivated and a self-starter., • Excellent communication and collaboration skills, both virtually and in person., • Familiarity with version control (We use Git)., • Operate in a workplace environment conducive to the respectful debate of ideas and opinions. Our team has incredible talent, and our technology will only become better if everyone gets to respectfully challenge each other's ideas to arrive at the best possible solution., • Most importantly, treat team members kindly—kindness is contagious, and nobody should feel disrespected in an intrinsically stressful technology-development environment. NICE TO HAVES • Experience with computational and procedural mesh geometry., • Previous development of user-facing tools or desktop software., • CAD industry experience (Autodesk, Dassault, OnShape, SolidWorks, etc.)., • Architecture, Engineering, and Construction (AEC) industry experience., • With JavaScript systems (Redux, React, TypeScript, Next.js, etc.)., • Experience with networked systems, distributed data, CRDT, or collaborative editing. Please include links to any representative code or portfolio samples you can share (Github, Bitbucket, tools, games, apps, etc.) in the "Experience Summary" section of the application. We would prefer candidates in the US, but are eager to talk to anyone with a track record in the game development space and making great software. Generate is remote work first, but we are also willing to discuss relocation to Boston, Massachusetts: a global epicenter of technological innovation! We are proud to be an equal opportunity employer and welcome applicants from all backgrounds, including those from historically underrepresented communities. We are committed to reflecting the values of diversity, equity, and inclusion, both in the workplace and in the products we deliver to the industry. We are excited to hear from you!

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Radar Systems Engineer, you will be a part of our Radar Engineering team. The Radar Engineering team is comprised of a small cross functional team of motivated and experienced engineers; we’re responsible for designing, building, and testing cutting edge phased array radar systems from concept to certified product. We enjoy a culture of sharing information and collaboration. Phased array radar systems have historically been reserved for specialized applications, but we’re making this technology affordable to enable Detect and Avoid for widespread commercial applications. This role will focus on new advanced operational modes. The passion for revolutionary technology to make aviation safer motivates us to come in every day. Responsibilities In your role as a Radar Systems Engineer, you will be responsible for analyzing phased array radar systems and developing radar processing algorithms to enable short, long range object tracking, and radar image generation. You will be involved in all phases of development from conception to production, designing your algorithms in Matlab, Python, and implementation in C++ on the target hardware. You will drive the system-level requirements of the phased array radar system, and drive trade studies collaborating with the cross functional teams. You will support the integration of the radar on the aircraft and support data collection and analysis during flight testing. You will be the owner of real-time processing of radar algorithms on an FPGA, DSP-based platform. Basic Success Criteria Electrical Engineering fundamentals, typically gained through a Bachelor’s Degree of Science or Engineering in Mechanical, Electrical, Aerospace, or a related discipline 8+ years of professional hands-on experience with Radar algorithms, radar system design, radar signal processing, integration, and test of a radar system Ability to use C++, Matlab and Python (Python preferred) Ability to troubleshoot, find root cause, and resolve issues Pulsed and FMCW processing algorithm development Experience in airborne radar testing and development Preferred Criteria Advanced Degree of Science or Electrical Engineering Experience developing system architectures and managing requirements for certification of Avionics Creative problem solver that can bring multiple disciplines together, with the ability to assess risk and make design and development decisions without all available data Experience integrating and troubleshooting various electronic sensors and components Weather radar experience, airborne or ground-based Real beam radar imaging, and or SAR processing This role can be remote, or located at our facility in Mountain View, California. Must be willing to travel 30% of the time. The estimated salary range for this position is $180,000 to $260,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity. In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment. This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant’s capacity to perform in compliance with U.S. export control laws. All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis. At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to work@reliable.co

Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) 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 premier client. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) 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. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. 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. We provide 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

PayPay is a FinTech company that has grown to over 65M (as of August 2024) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries. OUR VISION IS UNLIMITED_ We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realize a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. We are looking for people who can embrace this challenge, refresh the product at breakneck speed and promote PayPay with professionalism and passion. ※ Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation. • Drive teams to expand and optimize technical vision, architecture, system design, development process of systems, • Work with teams to answer consultations; furthermore, identify and prioritize tech debt and determine the best approach for resolving it., • Realize the vision through measurable gains in system scalability and efficiency., • Serve as a role model for junior engineers through mentoring and direct education. We are looking for a Principal Software Engineer to work on our various systems which need high scalability, reliability and availability. These challenges require creative thinking and a deep understanding of how software and platform work. Our ideal candidate is an ace problem solver and a learner at heart. You should have a very high degree of comfort in a programming language of your choice. We offer a flexible work schedule and you get your choice of tools (both hardware and software) and most importantly, the opportunity to work on tough problems with the brightest minds around you. So, if challenges excite you, and you're ready for a big one, let us know. Responsibilities: • Design, develop, test, deploy, maintain and improve software and core platform, • Lead technical aspects for multiple projects through hands-on execution and guidance of other engineers, • Provide architectural blueprints and technical leadership., • Provides input and guidance during all phases of programs to solve challenging technical issues., • Build common platforms to support different business vertical application systems, • Develop tools and contribute to open source wherever possible, • Adopt problem-solving as a way of life – always go to the root cause! Experience: • Solid foundation in designing, implementing, and maintaining a large-scale distributed system., • Experience in developing distributed platform systems such as Messaging Platforms, Pub/Sub Systems, Databases, Distributed Computing Frameworks, and Schedulers. Tech Stack: Our technology stack may vary based on project needs. Currently, we utilize: • Programming Languages: Java, Kotlin, Scala, • Frameworks and Tools: Spring Boot, JUnit, Resilience4j, Feign, • Databases: MySQL/AuroraDB, DynamoDB, ELK, Kafka, Redis, TiDB, • Deployment and Orchestration: Docker, Kubernetes, ArgoCD, AWS, GCP, • Development Tools: GitHub, IntelliJ, Gradle, Maven, npm/yarn, Flyway, Jenkins, • Data Analytics: BigQuery, Kibana, Spark, • Diagramming Tools: PlantUML, ,, • Communication: Slack, Zoom Qualifications: • Degree in Computer Engineering or Computer Science or 7+ years equivalent experience in software development, • Strong fundamentals in data structure, algorithm, operating system and object-oriented programming, • Deep understanding of concurrency, distributed computing, large-scale system, messaging and algorithm, • Software development experience in one or more general-purpose programming languages, • Interest and ability to learn new technology stacks as needed Preferred Qualifications: • Experience in working for system development in finance, payment, or similar industries, • Experience with AWS services, • Contribute to open-source projects, • Language ability in Japanese and English is a plus (We have a professional translator but it is nice to have language skills) Portrait: • Experience: Demonstrated experience designing and implementing large scale, high performance, micro-service based architectures utilizing new concepts and technologies where appropriate., • Ownership: A mentoring approach to owning, managing and improving the technical aspects of a large scale system end to end., • Communication: The ability to clearly and logically communicate your choice of technology and architectural decision based on its implementation strengths and limitations., • Commitment: As a professional, commit to the growth and business goals of the organization and create impactful results by your ownership., • Curiosity: Foster a development culture that explores new ideas knowing that we learn even from the ones that fail., • Please refer _to learn what we value at work. Employment Status • Full Time Office Location • _, • Remote Job, • You can live anywhere in Japan Work Hours • Super Flex Time (No Core Time), • In principle, 10:00am-6:45pm (actual working hours: 7h45m + 1h break) Holidays Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days Paid leave • Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire), • Personal leave (5 days each year, granted proportionally according to the month of employment） ＊PayPay's own special paid leave system, which can be used to attend to illnesses, injuries, hospital visits, etc., of the employee, family members, pets, etc. Salary • Annual salary paid in 12 installments (monthly), • Based on skills, experience, and abilities, • Reviewed once a year, • Special Incentive once a year *Based on company performance and individual contribution and evaluation, • Late overtime allowance, Work from anywhere allowance (JPY100,000) Benefits • Social Insurance (health insurance, employee pension, employment insurance and compensation insurance), • 401K, • Translation/Interpretation support, • VISA sponsor + Relocation support Other Information: • _, • _, • _, • _

Who We Are: At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results. Emburse AI Engineer As an AI Engineer at Emburse, you will drive design and implementation of artificial intelligence inference applications and products using a variety of approaches including foundation models (GenAI), agents, deep learning, neural networks and other machine learning techniques to help build the future of a completely automated invoice and expense management lifecycle. DescriptionAs a key member of our team, you will be responsible for designing, developing, and deploying AI solutions that further automate expense and invoice management processes and solve complex optimization problems. By combining expertise in machine learning, deep learning, and data science; you will create systems capable of learning and adapting over time leveraging production feedback mechanisms. Collaborating with cross-functional teams, the Emburse AI engineer will build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure. In addition to technical responsibilities, the Emburse AI engineer will play a strategic role by identifying opportunities for AI applications and driving innovation across the enterprise. You will work closely with data scientists, software engineers, and product stakeholders to ensure AI models align with organizational goals and deliver value. With a focus on continuous improvement, you will need to stay updated on the rapidly emerging advancements in artificial intelligence, exploring new tools for finetuning, distilling and deploying open-source foundation models. Further, you will be on the forefront of widening the scope of intelligence of Emburse AI by leveraging agents to retrieve canonical knowledge and make autonomous inferences for the purpose of handling user inquiries. This dynamic role is essential for Emburse to remain competitive in a rapidly evolving technological landscape. Key Responsibilities● Able to translate product design requirements into pipeline of heuristic and stochastic algorithms● Understand exploratory data analysis for product feasibility studies and ground truth testing● Execute SQL queries and/or python scripts to manipulate, analyze and visualize data● Able to implement explainable AI solutions and rationalize model inferences● Follows SDLC processes, Adopt agile-based processes/meetings and peer code-reviews● Works with Machine learning engineer/architect to deploy data products into production● Follows and understands legal data use restrictions● Contributes to algorithm library development and design for ML, NLP and XAI● Delivers product pipelines for deployment to production● Builds applications that integrate third party and self-hosted foundation models.● Fine tunes open source foundation models (LLMs, VLMs) with proprietary data● Develops autonomous AI inference and tool use orchestration using ReAct AI agents● Provides root cause analysis for machine learning model inference● Completes data analysis or processing tasks as directed● Documents data product end to end design and development● Data annotation, labeling and other related data generation activities● Provides thought leadership for rest of team and seeks out opportunities to mentor more junior team members● Presents and holds data product updates and trainings● Updates team on data product performance Education & ExperienceBS in Statistics, Mathematics, Computer Science or another quantitative field with at least 6 yearsexperience manipulating data sets and building GLM/regression models, ensemble decision trees and neural networks. The ideal candidate will have demonstrated hands-on experience with foundation models, GenAI and agents over the last 1-2 years. Graduate degree preferred. Key Qualifications● Strong problem solving skills with an emphasis on product development.● 6+ years of experience developing data science products ● Strong experience using and optimizing common python machine and deep learning libraries such as Scikit learn, PyTorch, TensorFlow, Keras, MXNet and Spark MLlib ● Experience using statistical computer languages (Python, R, Scala, SQL, etc.) to manipulate data and draw insights from large data sets.● Hands-on generative AI development Experience using foundation models (LLMs, VLMs)● Experience with model fine tuning of open source foundation models with proprietary data● Experience leveraging AI metrics for monitoring and value tracking● Knowledge of AI Agent frameworks with recent hands-on experience building an AI agent able to autonomously use data stores, tools and other AI models to solve inquiries.● Deep knowledge of data science concepts and related product development lifecycle● Experience using machine learning libraries such as TensorFlow, Keras, SparkML etc.● Working knowledge of machine learning tuning optimization procedures● Experience working with and creating data architectures.● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.● Excellent written and verbal communication skills for coordinating across teams.● A drive to learn and master new technologies and techniques. Preferred● Experience with big data analytical frameworks such as Spark/PySpark● Experience analyzing data from 3rd party providers: Google Knowledge Graph, Wikidata, etc.● Experience visualizing/presenting data for stakeholders using: Looker, PowerBI, Tableau, etc.Why Emburse? Finance is changing—and at Emburse, we’re leading the way. Our AI-powered solutions help organizations eliminate inefficiencies, gain real-time visibility, and optimize spend—so they can focus on what’s next, not what’s slowing them down. • A Company with Momentum – We serve 12M+ users across 120 countries, helping businesses modernize their finance operations. • A Team That Innovates – Work alongside some of the brightest minds in finance, tech, and AI to solve real- world challenges. • A Culture That Empowers – Competitive pay, flexible work, and an inclusive, collaborative environment that supports your success. • A Career That Matters – Your work here drives efficiency, innovation, and smarter financial decision-making for businesses everywhere. Shape your future & find what’s next at Emburse. Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment.

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

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI‑powered operating system that turns thousands of data streams into a real‑time, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting‑edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM At Anduril, our Battlespace Awareness Command and Control Software team specializes in solving complex, real‑world problems through cutting‑edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what’s possible to deliver advanced technologies with mission‑critical applications. Our commitment doesn't end with academic research or proof‑of‑concept experiments; we measure our success by the real‑world impact of our deployed solutions. Inspired by Arthur C. Clarke's vision — "Any sufficiently advanced technology is indistinguishable from magic" — we aim to achieve groundbreaking results in path planning, route optimization, and autonomous mission execution at the command and control layer. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology. ABOUT THE JOB We are looking to hire a Systems Engineer Lead to join our rapidly growing team in Broomfield, CO. The Battlespace Awareness team develops tactical sense‑ and decision‑making software that provides advanced capabilities for Anduril's command and control (C2) products. This software must work with various combinations of compute hardware, connected sensor/effector hardware, and supporting software services. It must be effective, robust, and safe across various configurations, mission sets, and customer experiences. We need systems engineers who are capable of internalizing the nuances of these complex systems, and ensuring the technical success of an end‑to‑end solution. WHAT YOU’LL DO The Systems Engineer Lead will support the design, development, and validation of advanced algorithmic capabilities including tracking, sensor/effector management, battlespace optimization, and threat forecasting. This role bridges system design, requirements management, modeling and simulation (M&S), and verification & validation (V&V) activities. You will integrate emerging capabilities into new products and system configurations. You will lead requirements decomposition across cross‑functional teams, defining success in the face of ambiguity. You will develop test plans, acceptance criteria, and analysis tools to evaluate system performance using both simulation and collected field data. You will use data‑driven analysis to verify customer requirements are met, and create artifacts to trace performance as the system evolves. You will own systems end‑to‑end, bringing an ability to identify and solve problems between the seams and push through to reach an ultimate desired outcome. Develop and execute high‑fidelity modeling and simulation environments to validate algorithm performance, evaluate system capabilities against requirements, and predict real‑world performance before field deployment. Lead requirements decomposition across cross‑functional teams, defining success in the face of ambiguity. Responsible for scoping ideal system laydown, scrutinizing system performance, and ensuring the deployed system is meeting customer requirements. Own systems end to end with the ability to identify and solve problems between the seams and push through to reach an ultimate outcome. REQUIRED QUALIFICATIONS 8+ years of hardware and software systems engineering experience. Degree in Engineering, Physics, Robotics, Mathematics, or a related field. 1+ year of people management experience. Demonstrated use of model based systems engineering in program lifecycle. Experience with tools such as JAMA, Cameo, Matlab, Simulink, AFSIM. Proficiency with programming languages such as Python for data parsing, modeling & simulation, data analysis, and visualization. Skilled in Statistics, AI/ML, Requirements, Testing, MBSE. Demonstrated proficiency in the application of engineering standards into engineering processes or requirements. Demonstrated experience collaborating across cross‑functional teams. Ability to communicate complex technical findings clearly to developers, system leads, and customers. Comfortable working with ambiguity, evolving priorities, and challenging problems. Must be authorized to work in the United States. Up to 25% travel to customer sites. Eligible to obtain and maintain an active U.S. Secret security clearance. PREFERRED QUALIFICATIONS Systems Safety experience. Familiarity with Linux OS. Familiarity with processes and constraints for real‑time and safety‑critical software. Working knowledge of C/C++ or Rust (coding full‑time is not required but understanding is valuable). Understanding of the full software development lifecycle. Prior involvement in field exercises, test events, experimentation campaigns. Comfortable obtaining data from software platforms using command‑line tools. Previous experience in a defense, aerospace, or naval environment. Experience with any of the following: radar, optics, tracking systems, distributed systems, autonomous systems, computer vision, wireless communication, software defined radios, networking. Exceptional proficiency with Python and/or MATLAB for data parsing and data visualization. Salary Range: $166,000 – $220,000 USD. Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. #J-18808-Ljbffr

Overview Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. Job Description Summary We are seeking a talented FPGA engineer to join the digital design team at Draper. The successful candidate will contribute to FPGA development with an emphasis on architecture, design, simulation, and test/support. Candidate must have experience using high level design and simulation tools and be familiar with process flows supporting design and simulation for digital FPGA efforts. Applicant should also be familiar with embedded software development for FPGA SoCs. The ideal candidate will be capable of working independently as well as working and communicating effectively with team members from multiple engineering, program, and customer groups. As a principal member, you will have leadership opportunities and mentoring responsibilities. Preference will be given to candidates with an understanding of hardware security, signal or image processing, filter design and algorithm implementation in hardware. Direct experience with embedded FPGA design is required. Job Description Duties/Responsibilities Translate project and system requirements into well‑defined hardware architectures working with cross‑functional teams. Design and/or complete instruments including microprocessors, power, and analog components. Innovatively solve issues, drive completion of the project to schedule, and collaboratively work with other technical contributors. Build and test prototypes, debug, and prepare documentation for manufacturing, and support. Research and enable innovative solutions for cutting‑edge designs. Engage other engineers and partners to develop reliable, cost effective solutions for products. Collaborate and communicate with management, internal, and development partners regarding design status, project progress, and issue resolution. Independently execute assignments with minimal oversight. Apply technical knowledge to solve problems. Contribute high quality content for technical reports and presentations with minimal guidance. Proactively identify needs and concerns associated with design decisions and communicate them to project leadership. Perform other duties as assigned. Skills/Abilities Proficiency in electronic design, microprocessor or embedded computing. Understanding of design and general computer architecture. Ability to write detailed design specifications. Computer programming and coding abilities. Excellent verbal and written communication skills. Excellent mathematical skills. Excellent organizational skills and attention to detail. Excellent time management skills with the proven ability to meet deadlines. Strong analytical and problem‑solving skills. Ability to prioritize tasks. Thorough understanding of engineering theories and procedures. Education Bachelor's degree in Electronic or Electrical Engineering or related field. Master’s Degree preferred. Experience 3–5 years experience in Electronic or Electrical Engineering or related. Additional Job Description Fluent in Verilog or VHDL Significant experience in FPGA Design / Development Familiarity with Xilinx Vivado and/or Microsemi Libero Digital simulation using Modelsim/Questa Significant experience with design closure including timing, power, and area for SWaP constrained designs Experience with high speed interfaces like SERDES, PCIe, DDR2/3/4, LVDS Experience implementing digital signal processing algorithms Strong analysis and problem-solving skills Experience with scripting languages Excellent communication and teaming skills Self-starter and a good team player Ability to mentor and willingness to be mentored Experience with Matlab/Simulink UVM skills (Test and/or Test Bench Development) Experience in hardware design and hands‑on lab debug Experience working with FPGA design verification teams Applicants selected for this position will be required to obtain and maintain a government security clearance. Job Location Cambridge, Massachusetts 02139-3563 Salary and Benefits US base salary range: $75,000.00 – $156,000.00. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. EEO Statement Draper is committed to creating an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com. #J-18808-Ljbffr

Senior Embedded Software Engineer - (Systems: Technical Pre / Post-Sales) Boston, MA, US | Full-time | Permanent | Hybrid Salary: $145,000 to $205,000 DOE | Up to 25% travel expected Riverlane’s mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. Without QEC, the industry’s defining technical challenge, these breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. Having raised more than $125M in funding to date, Riverlane partners with leading quantum hardware providers and government agencies to make fault‑tolerant quantum computing a reality. We’re making remarkable progress and growing fast. About the role The Embedded Systems Software Engineer bridges the gap between Riverlane and its customers. The engineer acts as the primary technical interface for customer engineers, guiding them through product integration and troubleshooting complex quantum systems. As an Embedded Software Engineer on the Systems Team, you will configure our Deltaflow Hardware to connect to the Quantum Computer, enabling a low‑latency, high‑throughput system that performs complex operations in a predictable and guaranteed way. You will develop our software stack to work with customers’ quantum computers, ensuring they can run quantum experiments, implement Riverlane’s quantum error correction algorithm, and debug any issues that arise. What you will do Technical Pre / Post‑Sales Host Technical Workshops on Riverlane’s QEC Stack and DeltaKit Evaluate customers’ software and data communication systems Integration On‑Site: End‑to‑End System Deployment Integrate our software stack into customers’ quantum computer systems Work with Riverlane’s Quantum Application Team to design experiments to test the compiled software Benchmark and discover system limitations Troubleshooting and Debugging: Managing Customer Issues Report issues and help replicate the setup with the QA team in Riverlane Write scripts to debug the complete system Update test environment and document the experiments that were conducted Customer Advocacy: Voice of the Customer to Riverlane Product Team Highlight successes, issues and trends on customers’ quantum systems Provide feedback on key features needed to win current and next‑generation products Create a dashboard that enables better understanding of the complete quantum computing system What we need A Bachelor's degree (or equivalent) in Computer Science, Electronic Engineering, Physics, Math or a related discipline Great communication skills (written and verbal) and an ability to work with a diverse range of people are essential Strong embedded C++ and Python skills Proven experience in SoC design, embedded systems design, or computer architecture Proficiency with a scripting language, such as Python (preferred) Working knowledge of Verilog, VHDL or SystemVerilog (preferred) Curiosity to learn about new technologies, including quantum computing and error correction A deep understanding of how hardware implements with software Experience with standard development practices, such as source control, continuous integration, unit testing, and standard debug methodologies Ability to work well within a team and independently Must be able to pass a USA Gov Clearance if required Experience working on scientific instrumentation Good knowledge of quantum mechanics Technical pre / post sales, professional services or field application engineering experience What can you expect from us A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance and 401K contributions Equity, so that our team can share in the long‑term success of Riverlane Generous paid time off and enhanced family leave A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and math) and over 20 different nationalities A learning environment that encourages individual, team and company growth and learning, including training and conference budgets Everyone is welcome at Riverlane. We are an equal opportunity employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Women and other under‑represented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don’t meet every single qualification. We’d love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. #J-18808-Ljbffr

Staff Engineer, Machine LearningSkip to main contentBy clicking “Accept All”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. Visitors have the right to withdraw their consent. For additional information you may view the cookie details. Read more about our privacy policy.# CareersStaff Engineer, Machine Learning page is loaded## Staff Engineer, Machine LearningApplylocations: US, MA, Bostontime type: Full timeposted on: Posted Todayjob requisition id: R263362About Analog DevicesAnalog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.Staff Research Scientist, AI-Hardware Co-DesignAnalog Devices (ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies to drive advancements in smart factories, mobility, healthcare, climate solutions, and reliable connectivity. With revenue exceeding $9 billion in FY24 and around 26,000 employees globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.The Analog Garage is ADI’s Innovation Lab, located in the heart of downtown Boston. We pioneer breakthrough technologies to solve high-impact problems that drive tangible value. Bringing together engineers, research scientists, and business leaders, we develop new technologies and solutions in a fast-moving, experiment-focused startup atmosphere.The RoleThe Algorithmic Solutions Group develops cutting-edge, efficient algorithms to bring intelligence to the physical world. We fuse state-of-the-art machine learning with deep domain expertise to convert raw physical data into actionable insights, solving the hard problems where off-the-shelf solutions fall short.We are seeking a Staff Research Scientist to architect the solutions that power the next generation of intelligent systems. Through rigorous analysis and proof-of-concepts, you will bridge the gap between advanced AI algorithms and hardware implementation to define the optimal compute strategy. Operating at the boundary of software and silicon, you will drive the co-design of algorithms and architecture, defining the computational foundation to enable physical intelligence.Key Responsibilities* Strategic Problem Definition: Collaborate with business leads and domain experts to identify opportunities where intelligent systems—integrating sensing, actuation, and tightly coupled algorithms—can solve previously impossible problems. You will focus on challenges that require holistic system innovation rather than just off-the-shelf components.* Research-to-Product: Lead technical execution from architectural design to validated proof-of-concept. You will partner with researchers and hardware engineers to bridge the gap between abstract research ideas and deployable solutions.* Feasibility analysis: Act as the "Physics of Compute" anchor for the research team. You will use high-fidelity simulation, modeling, and proof-of-concepts to quantify the impact of memory hierarchy, dataflow, and precision on system performance—distinguishing between viable product paths and impractical research concepts.* System-Level Architecture & Co-Design: Drive the simultaneous optimization of algorithms and hardware. You will treat the algorithm and the compute engine as a unified design space, adapting neural architectures to exploit specific hardware capabilities while selecting the optimal compute substrate—from ultra-low-power MCUs to custom accelerators—to meet strict power and area constraints.* Thought Leadership: Maintain a deep awareness of the evolving AI hardware and algorithm landscape. You will bring the best ideas from the academic and industrial communities into ADI, mentoring junior engineers and guiding the team toward state-of-the-art compute paradigms.The Ideal CandidateYou are a Computer Architect with a deep appreciation for AI, or an AI Researcher with a deep understanding of silicon. You think in terms of data movement, memory bandwidth, and energy-per-operation. You understand that hardware constraints shape algorithmic innovation, just as algorithmic needs must dictate architectural choices.* Educational & Professional Background: You hold a PhD specialized in Computer Architecture or Integrated Circuit Design for AI workloads, and have 3+ years of industry experience applying architectural principles to real-world engineering constraints.* Deep System-Level Hardware Expertise: You possess a profound understanding of how to organize computation and data. You have demonstrated this by either leading the design of complex AI SoCs, or by validating novel architectures through rigorous, cycle-accurate simulation. You operate at the structural level of the machine, optimizing memory hierarchies, on-chip networks, and execution models to solve complex data movement and efficiency challenges.* Edge AI & Model Optimization: You possess deep expertise in hardware-aware deep learning. You are proficient in modern frameworks (PyTorch, JAX) and capable of training or fine-tuning models to validate architectural hypotheses. You go beyond standard backbones to master the optimal mapping of computational graphs to silicon, orchestrating dataflow, tiling, and quantization (INT8, mixed-precision) to maximize arithmetic intensity within strict edge power budgets.* Innovation Mindset: You navigate the ambiguity of early-stage innovation with creative persistence, translating open challenges into concrete technical roadmaps. You excel at decision-making under uncertainty, justifying how your architectural trade-offs directly address the problem and create value.You distinguish yourself with:* Proven Silicon Execution: You have successfully taped out a complex SoC or a custom AI accelerator. You understand the harsh reality of physical design—from timing closure to power delivery—and how these downstream constraints influence early-stage architectural decisions.* DSP & Signal Fluency: You are comfortable discussing Fourier transforms, noise floors, and sampling rates. You understand the intersection of classical Digital Signal Processing (DSP) and deep learning, capable of architecting systems where neural networks and traditional signal chains work in concert to extract information from noisy physical data.* Hands-on RTL Experience: Familiarity with Verilog/SystemVerilog or modern hardware construction languages (Chisel, PyMTL) is a strong plus, even if you will not be writing production RTL daily.* Strong publication record in top conferences and/or journals*For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.EEO is the Law: Notice of Applicant Rights Under the Law.Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $172,000 to $236,500. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors. This position qualifies for a discretionary performance-based bonus which is based on personal and company factors. This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits. #J-18808-Ljbffr

Founded in 2011 by graduates of Massachusetts Institute of Technology (MIT) and Rhode Island School Of Design (RISD), RISE Robotics is a high-growth technology company backed by The Engine, a Tough Tech venture capital fund built by MIT, Greentown Labs, and Techstars. RISE Robotics is leading the way to Zero Emission heavy machinery by providing the world's most efficient and productive alternative to hydraulics. We specialize in fostering dynamic partnerships with Tier 1 suppliers, OEMs, and the US Department Of Defense, pioneering the transition from traditional hydraulic systems to more efficient and sustainable solutions. As a Senior Embedded Software Engineer, you'll play a pivotal role in the development and enhancement of the software that powers our robotic lifting solutions. You'll collaborate with cross-functional teams, contribute to the design and implementation of critical software components, and ensure the reliability and performance of our systems. Why This Role Matters As a pivotal member of the RISE Robotics Engineering organization, your contributions will shape the future of our company, spearheading the engineering effort to implement electronic controls of truly massive machines. Our dynamic and expanding team is ready to embrace your talent and ideas as we work together to redefine the way we operate. If you're passionate about motion control technology and thrive in a fast-paced, innovative environment, we want you to be a part of our journey. Join us and make your mark on the world of embedded software engineering! Key Responsibilities • Embedded Software Development: Design, develop, and maintain embedded software for our robotic lift systems, ensuring performance, reliability, and safety., • System Integration: Collaborate with hardware engineers to integrate software with the RISE platform's electrical and mechanical components., • Algorithm Development: Create and optimize control algorithms for precise and efficient robotic lifting operations., • Real-time Systems: Develop and implement software for real-time control, feedback systems, and sensor integration., • Testing and Debugging: Conduct thorough testing of software to identify and resolve issues, ensuring reliable and robust operation., • Documentation: Maintain comprehensive documentation for software design, development, and testing processes., • Collaboration: Work closely with cross-functional teams, including mechanical engineers, electrical engineers, and application specialists, to achieve project goals.

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. MORSE is seeking a talented Robotics Software Engineer to join our team. The ideal candidate will have a strong background in embedded systems, navigation algorithms, and autonomy. You will be responsible for architecting systems, implementing custom algorithms, and integrating novel control systems into our aerial vehicles. This role will involve developing and debugging software, configuring systems for flight tests, and supporting the end-to-end development of prototype vehicles. A passion for innovation and the ability to bring novel Unmanned Aerial Systems (UAS) from concept to flight is essential. Responsibilities: MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. MORSE is seeking a talented Robotics Software Engineer to join our team. The ideal candidate will have a strong background in embedded systems, navigation algorithms, and autonomy. You will be responsible for architecting systems, implementing custom algorithms, and integrating novel control systems into our aerial vehicles. This role will involve developing and debugging software, configuring systems for flight tests, and supporting the end-to-end development of prototype vehicles. A passion for innovation and the ability to bring novel Unmanned Aerial Systems (UAS) from concept to flight is essential. Responsibilities: Architect systems with multiple microcontrollers, defining component roles and managing requirements. Implement custom navigation algorithms and autonomy logic in Rust and C++. Analyze vehicle flight logs and debug GNC and autonomy issues Develop and write LIDAR sensor drivers in C++ and Rust. Handle system configuration, ground station setup, and data management during local and remote flight tests. Develop control and path planning algorithms for aerial vehicles and integrate them into the PX4 ROS communications layer. Implement drivers for novel control actuation and integrate them into PX4 or other flight controllers. Incorporate flight models into the existing Python flight simulator and use the simulator for algorithm development. Develop Software-In-the-Loop (SWIL) and Hardware-In-the-Loop (HWIL) testing capabilities. Aid in system architecture, selection, and integration of flight controllers, electronics, and sensors. Support the development, integration, and testing of prototype vehicles. Write, test, and debug drivers such as CANopen actuators and beyond line-of-sight radios in C++ and Python. Demonstrate familiarity with low-level embedded programming concepts such as memory management, data structures, algorithms, and bit manipulation. Requirements: U.S. Citizenship required and ability to obtain a U.S. Security Clearance Bachelor’s degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Aerospace Engineering or a related field. Master’s degree preferred. Strong skills in C++, Rust, and Python. Experience in navigation algorithms (SLAM, path planning) and autonomy logic. Experience with low-level embedded programming and microcontrollers. Experience with PX4 or other flight controllers Skilled in system architecture, component definition, and integration of prototype vehicles. A passion for taking novel UAS from concept to flight! MORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.Employees also receive 10 paid holidays per year. MORSE maintains an “open” leave policy that does not restrict exempt, regular full-time employees to a specificnumber of paid sick or vacation days. However, this policy is not an “unlimited” paid leave policy. Compensation: $90,000 USD - $210,000 USD The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success while maintaining a collaborative, enjoyable work experience for our employees. Our team values work-life balance through flexibility and other programs, along with a comprehensive benefits package for employees and families. For more information, please visit www.morsecorp.com. #J-18808-Ljbffr

As a Staff Software Engineer on our Clinical Health team, you will design, build, and operate the production systems that deliver personalized health insights to millions of WHOOP members. You will work at the intersection of machine learning, backend engineering, cloud infrastructure, and software as a medical device (SaMD), building scalable, reliable, and observable services that power health features derived from physiological and behavioral data. In this role, you will partner closely with Applied ML Scientists, ML Research Engineers, and Digital Health teams to translate novel algorithms and research prototypes into production‑grade systems. You will provide technical leadership across ML infrastructure, inference services, data pipelines, and platform architecture, ensuring our health algorithms can be deployed, monitored, validated, and operated at scale within a quality‑managed environment. This role is ideal for engineers with deep experience building distributed systems and production platforms who are excited to apply those skills to machine learning‑powered healthcare products. WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team is responsible for developing novel algorithms and features that expand our health sensing capabilities. Our work spans several key areas, including women's health, software as a medical device, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. As a Staff Software Engineer, Machine Learning on our Clinical Health team, you will design, build, and operate the production systems that deliver meaningful, personalized health insights to millions of members. You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure—building scalable, reliable, and observable services that power health features derived from physiological and behavioral data streams. A central part of this role is partnering with Applied ML Scientists, ML Research Engineers, and Digital Health teams to translate novel algorithms and research prototypes into production‑grade systems. This role emphasizes distributed systems design, backend engineering excellence, platform thinking, and operational rigor. You will help define the architecture, tooling, and infrastructure required to deploy, validate, monitor, and operate ML‑powered health features within a quality‑managed framework. Responsibilities Design, build, and maintain production services that deliver health features, in close collaboration with Applied ML Scientists and ML Research Engineers. Lead the architecture and development of scalable ML inference systems, APIs, and backend services optimized for reliability, latency, and cost efficiency. Collaborate with Data Platform teams to improve ML data pipelines, tooling, feature delivery systems, and validation frameworks that support robust model performance. Work alongside Applied ML Scientists to translate research prototypes into production systems that can be deployed, monitored, and operated at scale. Partner with the Digital Health team on algorithmic performance specifications, validation and verification planning, and the design of SPA or algorithm validation studies. Drive operational excellence through monitoring, observability, incident response, and reliability improvements for ML‑powered services. Collaborate with researchers, product teams, and engineering stakeholders to align platform investments with health insights and member impact. Participate in on‑call rotations for ML and data services, ensuring uptime, performance, and reliability in production environments. Provide technical leadership through architecture reviews, engineering standards, mentorship, and cross‑functional collaboration. Qualifications Bachelor's degree in Computer Science, Software Engineering, Data Science, Applied Mathematics, or a related field (Master's preferred). 7+ years of professional experience as a Software Engineer, Machine Learning Engineer, Platform Engineer, or related role building large‑scale distributed systems and/or production ML platforms. Strong coding skills in Python with a track record of writing clean, well‑tested, production‑quality code. Strong fundamentals in backend and service development, including APIs, distributed systems, reliability, monitoring, debugging, and performance optimization. Experience designing, deploying, and operating ML inference systems at scale (real‑time streaming and/or large‑scale batch). Experience building and maintaining distributed systems, event‑driven architectures, or high‑throughput data processing platforms. Experience deploying and operating services on cloud platforms (AWS or GCP), including Kubernetes, CI/CD pipelines, infrastructure automation, and observability tooling. Experience partnering with data science or machine learning teams to productionize models, algorithms, and data‑driven features. Familiarity with applied machine learning concepts, model evaluation, experimentation, and performance validation. Experience processing time‑series, streaming, sensor, wearable, physiological, or other high‑volume data sources is preferred. Experience developing software in a regulated or quality‑managed environment (SaMD, medical device, healthcare, fintech, or similarly regulated domains) is a plus. Demonstrated technical leadership through architecture and design ownership, setting engineering standards, and raising quality through reviews and mentorship. Proven track record driving measurable improvements in system performance, reliability, scalability, and/or cost at scale, while influencing cross‑functional technical direction. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Compensation and Benefits The U.S. base salary range for this full‑time position is $170,000–$230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job‑related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP. #J-18808-Ljbffr