About the job
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.
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
Qualifications
Minimum
5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
Strong software engineering experience in 3D domains (games, simulation, robotics, etc)
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
Passion for your craft and demonstrated excellence in physics simulation engineering
Proficiency in Python and C++
Preferred
5+ 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