Amazon.com Services LLC
Robotics
AppliedScientist,Navigation
Neural analysis suggests this role is
optimal for Senior candidates.
“Applied Scientist, Navigation at Amazon.com Services LLC. Skills: Robot navigation, Machine learning, Control systems, Autonomous robotics. Design perception algorithms. Develop perception algorithms”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
2+ years of experience in robot navigation, PhD in Robotics, Computer Science, Electrical Engineering, Controls, or a related field, Experience programming in Java, C++, Python or related language, Deep expertise in learning-based approaches to navigation, Experience with Model Predictive Control (MPC), Proven track record of translating research into deployed systems
Nice to Have
Experience applying foundation models or large pre-trained models to robotics tasks, Familiarity with world models, visual navigation, or vision-languageaction models, Experience with sim-to-real transfer, Knowledge of SLAM, localization, and mapping systems, Experience with ROS/ROS2, Hands-on experience deploying navigation systems on physical robots, Experience with safety-critical systems, Familiarity with multi-agent coordination
What You'll Do.
Design perception algorithms
Develop perception algorithms
Deploy perception algorithms
Lead research initiatives
Collaborate with cross-functional teams
Define perception capabilities
Deliver perception capabilities
Drive end-to-end ownership of ML models
Mentor junior scientists
Contribute to technical excellence
Publish research findings
Contribute to patents
Train ML models for deployment
Identify model limitations
Document model limitations
Drive technical discussions
Develop innovative solutions
Contribute to brainstorming sessions
Architect navigation systems
Deliver navigation systems
How You'll Work.
Team & Collaboration
Cross-functional teams; Robotics engineers; Software engineers; Product managers; World-class teams; Key stakeholders
Process & Methodology
Roadmap planning
Full Job Description
Amazon is on a mission to redefine the future of automation — and we're looking for exceptional talent to help lead the way. We are building the next generation of advanced robotic systems that seamlessly blend cutting-edge AI, sophisticated control systems, and novel mechanical design to create adaptable, intelligent automation solutions capable of operating safely alongside humans in dynamic, real-world environments. At Amazon, we leverage the power of machine learning, artificial intelligence, and advanced robotics to solve some of the most complex operational challenges at a scale unlike anywhere else in the world. Our fleet of robots spans hundreds of facilities globally, working in sophisticated coordination to deliver on our promise of customer excellence — and we're just getting started. As a Sr. Scientist in Robot Navigation, you will be at the forefront of this transformation — architecting and delivering navigation systems that are intelligent, safe, and scalable. You will bring deep expertise in learning-based planning and control, a strong understanding of foundation models and their application to embodied agents, and as well as have in-depth understanding of control-theoretic approaches such as model predictive control (MPC)-based trajectory planning. You will develop navigation solutions that seamlessly blend data-driven intelligence with principled control-theoretic guarantees. Our vision is bold: to build navigation systems that allow robots to move fluidly and safely through dynamic environments — understanding context, anticipating change, and adapting in real time. You will lead research that bridges the gap between cutting-edge academic advances and production grade deployment, collaborating with world-class teams pushing the boundaries of robotic autonomy, manipulation, and human-robot interaction. Join us in building the next generation of intelligent navigation systems that will define the future of autonomous robotics at scale. Key job resp
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