Job ID: | Amazon.com Services LLC
Amazon is on a mission to redefine the future of automation — and we’re looking for exceptional talent to lead the way. We are building the next generation of advanced robotic systems that blend cutting‑edge AI, sophisticated control systems, and novel mechanical design to create adaptable, intelligent automation solutions capable of operating safely alongside humans in dynamic, real‑world environments. At Amazon, we leverage the power of machine learning, artificial intelligence, and advanced robotics to solve complex operational challenges at scale.
Key Job Responsibilities
- Design, develop, and deploy perception algorithms for robotics systems, including object detection, segmentation, tracking, depth estimation, and scene understanding
- Lead research initiatives in computer vision, sensor fusion, and 3D perception
- Collaborate with cross‑functional teams including robotics engineers, software engineers, and product managers to define and deliver perception capabilities
- Drive end‑to‑end ownership of ML models—from data collection and labeling strategy to training, evaluation, and deployment
- Mentor junior scientists and engineers; contribute to a culture of technical excellence
- Define and track key metrics to measure perception system performance in real‑world environments
- Publish research findings in top‑tier venues (CVPR, ICCV, ECCV, ICRA, NeurIPS, etc.) and contribute to patents
A Day in The Life
- Train ML models for deployment in simulation and real‑world robots, identify and document their limitations post‑deployment
- Drive technical discussions within your team and with key stakeholders to develop innovative solutions to address identified limitations
- Actively contribute to brainstorming sessions on adjacent topics, bringing fresh perspectives that help peers grow and succeed— and in doing so, build lasting trust across the team
- Mentor team members while maintaining significant hands‑on contribution to technical solutions
Basic Qualifications
- Experience programming in Java, C++, Python, or a related language
- PhD in Robotics, Computer Science, Electrical Engineering, Controls, or a related field
- 2+ years of experience in robot navigation, motion planning, or autonomous systems
- Deep expertise in learning‑based approaches to navigation (e.g., imitation learning, reinforcement learning, neural motion planning, diffusion‑based policies)
- Strong experience with Model Predictive Control (MPC) and optimization‑based planning (PyTorch, JAX, or equivalent)
- Proven track record of translating research into deployed systems
Preferred Qualifications
- Experience applying foundation models or large pre‑trained models to robotics tasks (navigation, manipulation, or embodied AI)
- Familiarity with world models, visual navigation, or vision‑language action models
- Experience with sim‑to‑real transfer and high‑fidelity simulation environments (Isaac Sim, MuJoCo, Gazebo)
- Knowledge of SLAM, localization, and mapping systems
- Experience with ROS/ROS2 and real‑time robotics middleware
- Hands‑on experience deploying navigation systems on physical robots in dynamic, real‑world environments
- Experience with safety‑critical systems and formal verification of learned controllers
- Familiarity with multi‑agent coordination and fleet‑level navigation
Equal Opportunity Employer Statement
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
USA, CA, SAN FRANCISCO – $171,600.00 – $222,200.00 annually
USA, MA, N. READING – $142,800.00 – $193,200.00 annually
Benefits
- Health insurance (medical, dental, vision, prescription)
- Basic Life & AD&D insurance with option for supplemental life plans
- Employee Assistance Program (EAP) and Mental Health Support
- Medical Advice Line
- Flexible Spending Accounts
- Adoption and Surrogacy Reimbursement coverage
- 401(k) matching
- Paid time off
- Parental leave
Learn more about our benefits at
Posted: June 19, 2026 (Updated 1 day ago)
#J-18808-Ljbffr