Staff Simulation Engineer - Core Simulation Platform

Job description

Job responsibilities

• Contribute to the architecture and development of the core simulation platform — high-performance digital twins that serve as the foundation for policy training, controls validation, and CI/CD integration testing.
• Help build and scale cloud-native simulation pipelines capable of generating millions of experience hours per day, parallelizing physics and rendering for rapid policy iteration.
• Improve sim-to-real transfer through advanced contact models and actuator dynamics that help policies trained in simulation transfer to physical humanoid hardware.
• Develop sensor-realistic environments (camera, LiDAR, depth) that challenge the perception stack with dynamic and diverse worlds.
• Ship platform improvements that visibly reduce iteration time for RL, controls, and perception teams.
• Work with Controls, AI Research, and Perception teams to support their evolving simulation needs as the platform grows.

Job requirements

• Excellent C++ and/or Python programming skills
• Familiar with software development best practices: CI/CD, automated testing, and code quality standards
• Understanding of robotics concepts: kinematics, dynamics, controls, system identification
• Experience with modern robotic simulators (Isaac Lab, MuJoCo, or equivalent)
• Understanding of Reinforcement Learning and VLAs, with research or production experience
• Experience with large-scale training workloads — deploying parallel simulations on cloud platforms (AWS, GCP, Azure) with distributed computing frameworks (e.g., Ray, Kubernetes)
• Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or related field (or equivalent experience)
• 5+ years of experience in robotic simulation, software engineering, or related fields