Senior Robotics Simulation Scientist: Bridging Sim to Real

Amazon; Sunnyvale (CA); On-site; USD 192,000 - 260,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Parental leave

PTO plan

401(k)

Job summary

Amazon.com Services LLC’s Robotics Simulation team seeks a Senior Applied Scientist to bridge simulation and real robots. You will mentor junior scientists, design sim-to-real transfer strategies, and drive methodologies for Physics AI and policy training across multiple platforms.

This role blends classic robotics (kinematics, dynamics, motion planning) with diffusion policies and world models, delivering deployed robotic capabilities in production environments.

Qualifications

• PhD or Master’s degree with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Provide technical robotics direction for Physical AI program, spanning simulation design, policy training, sim-to-real transfer, and real-world validation across robotics platforms.
• Mentor junior scientists and engineers on robot learning best practices.
• Design and execute sim-to-real transfer strategies, including system identification, domain randomization, physics parameter tuning, and visual domain adaptation.
• Architect policy training pipelines combining teleoperation data, synthetic demonstrations, reinforcement learning, and imitation learning for manipulation tasks.
• Lead sim-to-real analysis: define metrics for simulation fidelity and identify improvements impacting downstream policy performance.
• Collaborate with hardware teams on robot embodiment modeling and digital twins for accurate kinematics, dynamics, and sensor characteristics.

Skills

Java

C++

Python

Deep learning

Reinforcement learning

Education

PhD or MS with 6+ years applied research

Tools

IsaacSim

IsaacLab

MuJoCo

Drake

ROS2

Job description

Amazon.com Services LLC’s Robotics Simulation team seeks a Senior Applied Scientist to bridge simulation and real robots. You will mentor junior scientists, design sim-to-real transfer strategies, and drive methodologies for Physics AI and policy training across multiple platforms.

This role blends classic robotics (kinematics, dynamics, motion planning) with diffusion policies and world models, delivering deployed robotic capabilities in production environments.