Amazon-posted 3 months ago
$129,300 - $223,600/Yr
San Francisco, CA

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.

  • 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
  • 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++
  • 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
  • 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
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