Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.
Key job responsibilities
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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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