- Lead the design and delivery of on-robot subsystems, such as perception, SLAM and navigation, dexterous manipulation, low level controls, or task execution, from architecture through deployment on robots, and guide the engineers building it with you
- Prototype quickly with applied scientists, then take the algorithms and learned models that work to production components that meet the robot's real-time, compute, and safety constraints on embedded GPU platforms
- Define the interfaces, timing, and data contracts between perception, planning, control, and the learned policies that run alongside them
- Make your components observable with metrics and telemetry, and lead system-level debugging of failures seen on real robots
- Lead design reviews for the team and partner teams, and write documents for both technical and non-technical audiences
- Mentor engineers on the team in robotics and software engineering, and raise the bar for how we build, test, and operate robot software
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelors or Master's degree and 10+ years in CS, ME, EE or related field experience
- Experience with robotics middleware like ROS, ZCM, or Zenoh
- Experience designing and shipping software for physical robots or other real-time embedded systems, with deep expertise in at least one robotics area such as perception, SLAM, navigation, controls, or autonomy
- Master's degree or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
- Experience taking robotics algorithms or machine learning models from research prototype to production on real hardware, in close partnership with applied scientists
- Experience with mobile manipulation, locomotion, or dexterous manipulation
- Experience integrating learned policies on a real robot (e.g., imitation or reinforcement learning, vision-language-action models, LLM-based task planning)
- Experience with real-time systems, including scheduling, deterministic timing, and sensor synchronization
- Experience deploying and optimizing models and perception pipelines on embedded GPUs (e.g., PyTorch, CUDA, TensorRT, NVIDIA Jetson)
- Experience with test-driven development and automated testing of robotics software, including regression testing of robot behavior with logged data, simulation, and hardware-in-the-loop testing
- Experience using AI coding assistants and agents to speed up development, with sound judgment about reviewing and verifying their output
- Excellent written and verbal communication, with a track record of leading technical work across science and engineering teams
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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, N.Reading - 168,100.00 - 227,400.00 USD annually