Job Description

At the core of every robot policy we ship is a simulation platform that has to be fast enough for RL training, accurate enough for controls validation, and stable enough to be the team’s daily driver. As Staff Simulation Engineer for Core Simulation Platform, you’ll contribute to the architecture and development of that platform alongside senior team members, applying strong C++ and Python skills, robotics fundamentals, and modern simulator experience to keep the platform robust, performant, and parallel.

ESSENTIAL DUTIES AND 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.

SKILLS AND 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 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)

EDUCATION and/or EXPERIENCE

• 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

PHYSICAL REQUIREMENTS:

• 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

The annual salary range is $165,000 - $200,000.