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
Partner with scientists and engineers to turn SLAM, mapping, and navigation algorithms into production on-robot components
Build the localization and mapping pipeline, and keep the robot localized over long distances in large spaces that change throughout the day
Build the spatial memory that records what the robot has seen and where
Make navigation reliable alongside perception and safety, including recovering when the robot gets stuck
Measure how well localization and navigation work on real robot data, and use that to improve them
Make it all run in real time on the robot's embedded compute, and debug failures on real robots
Write design docs and experiment reports that are clear about tradeoffs and limitations
3+ years of non-internship professional software development experience
Experience programming with C++ and/or Python
Experience developing or integrating perception, SLAM, localization, 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 state estimation, computer vision, or robotics
Experience with SLAM and state estimation, such as visual, visual-inertial, or lidar odometry, loop closure, pose-graph optimization (e.g., GTSAM, Ceres, g2o), and localization in prebuilt maps
Experience with navigation stacks (e.g., ROS 2, Nav2, costmaps, global and local planners, behavior trees)
Experience with 3D data and point clouds (e.g., PCL, Open3D) and occupancy or voxel mapping
Experience building semantic maps, scene graphs, or spatial memory for robots, including with vision-language models
Experience with multi-sensor pipelines, time synchronization, and coordinate-frame management (e.g., cameras, lidar, IMU, tf2)
Experience taking research algorithms from prototype to production, including porting Python prototypes to production C++
Experience optimizing SLAM, perception, or machine learning workloads for real-time performance on embedded CPUs and GPUs (e.g., NVIDIA Jetson, CUDA)
Experience building simulation-based or hardware-in-the-loop evaluation for localization or navigation
Experience using AI coding assistants and agents to speed up development, with sound judgment about reviewing and verifying their output
Excellent collaboration and communication skills, with the ability to 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 - 143,700.00 - 194,400.00 USD annually
