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# Software Development Engineer II, Robotics Navigation

- **Company:** Amazon.com, Inc.
- **Location:** North Reading, MA, United States
- **Experience:** Experienced
- **Salary:** $143,700 - $194,400
- **Contract:** Internship / Graduate position
- **Skills:** Computer Vision, C++ (Programming Language), Nvidia CUDA, Computer Programming, Software Debugging, Microprocessors, Hardware-In-The-Loop Simulation, Python (Programming Language), Machine Learning, Language Modeling, Software Engineering, Graphics Processing Unit (GPU), AI Coding Agents, Information Technology, NVIDIA Jetson, Lidar
- **Published:** November 13, 2026
- **Apply:** https://dejobs.org/x/x/B7BA5CA3F4F8407B9E2E65A1C7CC198E/job/

## About the Role

* 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

## Description

* 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