Software Development Engineer- Simulation, Frontier AI Robotics

Amazon • San Francisco, CA

128d • $129,300 - $223,600

About The Position

We are seeking a Simulation Engineer to join our AI robotics research team developing foundation models for robotics. You will rapidly develop 3D physics-based simulation frameworks and tools alongside scientists to enable training large-scale machine learning models.

Requirements

• 5+ years of non-internship professional software development experience
• 3+ years of programming with at least one software programming language experience
• 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Extensive experience in physics simulation, with a preference for expertise in rigid body simulation
• Experience with Isaac Sim, Unity, Unreal or proprietary 3D game engine, or industry-equivalent technology (3D animation, simulation, etc)
• Understanding of 3D graphics and real-time rendering applications
• Proficiency in Python and C++

Nice To Haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Experience with physical robots, reinforcement learning, synthetic data generation
• Experience optimizing physics simulation for articulated robots and rigid body interactions
• Familiarity with modern ML frameworks like PyTorch
• Familiarity with 3D formats (URDF, MJCF, USD)
• Familiarity with 3D content creation tools (e.g, Blender, Houdini)
• Experience implementing techniques from research papers

Responsibilities

• Develop simulations for reinforcement learning, closed-loop simulations and synthetic data generation
• Implement essential robotics features, including accurate modeling of sensors, actuators, and controllers
• Build real-to-sim workflows for dynamic environments and robotics tasks
• Implement simulation features to minimize sim-to-real gaps through domain randomization and system identification
• Create asset toolchains supporting industry-standard formats (URDF, MJCF, USD)
• Collaborate closely with a team of ML researchers to enable large-scale robotics training pipelines

Benefits

• Medical, financial, and/or other benefits
• Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package

What This Job Offers

• Education Level: Bachelor's degree