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
Set the technical direction for the robot's perception, SLAM, navigation, and spatial memory software, and lead the engineers who build it
Own how well the robot perceives and navigates in real facilities, and drive the fixes when it falls short
Work with applied science leaders to bring research from prototypes to production
Make tradeoffs across the stack, such as what runs on the robot versus in the cloud and how models share limited compute
Define how perception and mobility work with planning, manipulation, and safety, and create alignment across teams
Build the evaluation strategy that shows robot performance improvements, and use it to set priorities with science and program partners
Raise the engineering bar through design reviews, mentoring, and hiring
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, or 10+ years in CS, ME, EE or related field experience
Experience designing and shipping perception, computer vision, SLAM, or navigation software for robots, autonomous vehicles, or other real-world systems
Master's degree or PhD in Robotics, Computer Science, Electrical Engineering, or a related field, with a focus on computer vision, state estimation, or machine learning
Experience leading perception, SLAM, or navigation software for robots or autonomous vehicles deployed in production
Experience optimizing machine learning models or computer vision pipelines for real-time inference on embedded GPUs (e.g., NVIDIA Jetson, TensorRT, ONNX Runtime, CUDA)
Experience with 3D perception and state estimation, such as stereo depth, visual, visual-inertial, or lidar odometry, SLAM and loop closure, mapping, or localization
Experience with navigation and autonomy stacks (e.g., ROS 2, Nav2, costmaps, global and local planning)
Experience integrating vision-language or other foundation models into robot perception or navigation, such as open-vocabulary detection and segmentation, semantic maps, or language-guided navigation
Experience with model compression and quantization (INT8/FP8, pruning, distillation) and GPU profiling tools such as NVIDIA Nsight Systems or Nsight Compute
Experience with multi-camera and multi-sensor pipelines (e.g., GMSL cameras, lidar, time synchronization) and serving multiple models on shared accelerators (e.g., Triton Inference Server)
Experience deploying models across heterogeneous accelerator platforms (GPU, NPU, DSP)
Experience building simulation-based or hardware-in-the-loop evaluation for perception, localization, or navigation
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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
USA, MA, Wilmington - 168,100.00 - 227,400.00 USD annually
