Applied Scientist, Robotics - Vulcan

Applied Scientist, Amazon Robotics - Vulcan

Job :  |  Services LLC

Our team in Amazon Robotics builds robotic systems that perform contact-rich manipulation tasks safely and reliably in complex, unstructured environments — at Amazon scale. Our scientists and engineers push the boundaries of robotic manipulation to handle enormous object diversity, bringing deep expertise across planning, control, perception, and machine learning. We learn from real-world data at a scale that few teams in robotics can access.

• Design, implement, and deploy motion planning, control, and manipulation algorithms on production robotic systems.
• Partner with experts across disciplines including perception, hardware, and software to create intelligent, integrated systems and solutions.
• Contribute to the development of learned manipulation behaviors and controllers, including sim‑to‑real deployment.
• Write production-quality code and own scalable, real‑time implementations.
• Validate algorithms on hardware, iterating between simulation and real-world testing to ensure robust performance.
• Analyze experimental results, identify failure modes, and drive systematic improvements to system performance.
• Champion Amazon in academia through publications and scientific presentations.

Amazon offers a full range of benefits for you and eligible family members, including domestic partners. The benefits that generally apply to regular, full-time employees include:

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

• PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
• Experience programming in Java, C++, Python or related language
• Experience with robotics work cells and control systems
• Strong background in motion planning, control theory (compliant control, trajectory optimization), or learning-based manipulation

• Experience deploying and supporting complex robotic systems at scale
• Familiarity with reinforcement learning, behavior cloning, and/or sim‑to‑real transfer for manipulation
• Experience with contact-rich manipulation, force/torque control, and/or constrained motion planning
• Publications in top robotics, controls, or machine learning venues (RSS, CoRL, ICRA, IROS, NeurIPS, ICML, etc.)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit (Use the "Apply for this Job" box below). for more information.

The base salary range for this position is $ – $ USD annually. 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.

USA, WA, Seattle