> Markdown version of [/jobs/ext/2256698-applied-scientist-navigation](https://www.wearedevelopers.com/jobs/ext/2256698-applied-scientist-navigation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied Scientist, Navigation - **Company:** Amazon.com, Inc. - **Location:** North Reading, MA, United States - **Experience:** Experienced - **Salary:** $171,600.0 - $222,200.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Computer Vision, C++ (Programming Language), Middleware, Formal Verification, Python (Programming Language), Machine Learning, Motion Planning, Object Detection, Sensor Fusion, Reinforcement Learning, Pytorch, Multi-Agent Systems, Safety Critical Systems, Information Technology, Stable Diffusion - **Published:** August 26, 2026 - **Apply:** https://dejobs.org/x/x/623B3F7FF1314F3CA715AFB04B1C646D/job/ ## About the Role * Experience programming in Java, C++, Python or 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, * 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-languageaction 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 ## Description * 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 About the team Our team is a group is a diverse group of scientists and engineers passionate about building intelligent machines. 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