Staff Simulation Engineer - Core Simulation Platform
- 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.
- 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 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)
- 8+ years of experience in robotic simulation, software engineering, or related fields
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift 15 pounds at times
- Vision to read printed materials and a computer screen
- Hearing and speech to communicate
- This is a direct hire. Please, no outside Agency solicitations.
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