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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 - **Published:** June 20, 2026 - **Apply:** https://www.juju.com/job/00000000g9gk9x ## 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 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-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. We value curiosity, rigor, and a bias for action. We believe in learning from failure and iterating quickly toward solutions that matter., 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. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. 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. ## Related Videos - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [Developer’s Perspective: Overview of the Tezos Blockchain Ecosystem](https://www.wearedevelopers.com/videos/237-developer-s-perspective-overview-of-the-tezos-blockchain-ecosystem) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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