1 day ago
Base Salary
$168k - $227k/yr
Responsibilities
- Lead the architecture, delivery, and deployment of on-robot subsystems such as perception, SLAM, navigation, dexterous manipulation, low-level controls, and task execution.
- Convert robotics algorithms and learned models from prototypes into production components that satisfy real-time, compute, and safety constraints on embedded GPU platforms.
- Define interfaces, timing, and data contracts across perception, planning, control, and learned policies.
- Add metrics and telemetry and lead system-level debugging of failures on real robots.
- Lead design reviews, produce technical and non-technical documentation, and guide technical direction across teams.
- Mentor robotics and software engineers and improve practices for building, testing, and operating robot software.
Requirements
- At least 5 years of non-internship professional software development experience and 5 years of programming experience in at least one software language.
- At least 5 years of experience leading the design or architecture of new and existing systems.
- Experience mentoring, serving as a tech lead, or leading an engineering team.
- A bachelor’s or master’s degree and 10+ years of experience in computer science, mechanical engineering, electrical engineering, or a related field.
- Experience with robotics middleware such as ROS, ZCM, or Zenoh.
- Experience designing and shipping software for physical robots or other real-time embedded systems, with deep expertise in an area such as perception, SLAM, navigation, controls, or autonomy.
- Preferred qualifications include a master’s degree or PhD in robotics, computer science, electrical engineering, mechanical engineering, or a related field.
- Preferred experience includes taking robotics algorithms or machine learning models from research prototype to production, mobile manipulation, locomotion, dexterous manipulation, learned policies, real-time systems, embedded GPU optimization, and automated robotics testing.
- Experience with PyTorch, CUDA, TensorRT, and NVIDIA Jetson for model and perception-pipeline deployment is preferred.
- Experience with AI coding assistants and agents, plus strong written and verbal communication, is preferred.
Benefits
- Comprehensive benefits include medical, dental, vision, prescription, basic life and AD&D insurance, optional supplemental life plans, an employee assistance program, mental health support, a medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.
- The position is based in N. Reading, Massachusetts, USA; the posting does not specify a remote or hybrid arrangement.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.