Staff Software Engineer - Robotic Simulation

JOB SUMMARY

We are seeking a Staff Simulation Engineer to spearhead the architecture and development of our core simulation infrastructure—the engine that powers our reinforcement learning and controls initiatives. In this role, you will be responsible for the continuous development, improvement, and maintenance of our simulation environments in MuJoCo, scaling the platform to be robust, high-performance, and highly parallelized. You will own the technical roadmap for our simulation tools, ensuring seamless integration with robot control systems and learning frameworks to provide our teams with the foundational infrastructure needed to develop next-generation autonomous behaviors.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES:

• Simulation Infrastructure: Develop and maintain simulation infrastructure integrated with robot control systems, ensuring that data flows accurately reflect both simulated and real-world operations.
• Sim-to-Real & Contact Modeling: Transfer real-world robot parameters into simulation and design accurate contact models for high-fidelity sim-to-real alignment.
• Scalable Learning & Perception Simulation: Develop parallel simulation platforms for RL and create photorealistic environments for vision-based tasks, eg. camera / lidar simulation
• Technical Leadership & Collaboration: Lead project planning and technical direction, working closely with engineering, research, and product teams to keep efforts aligned and moving forward.

 SKILLS AND REQUIREMENTS:

• Excellent C++ and Python programming skills 
• Familiar with best practices for software development, including CI/CD, automated testing, and code quality standards to ensure a robust and scalable codebase.
• Technical leadership experience in robotic simulation, including defining technical roadmaps and collaborating cross-functionally to align priorities and drive project execution.
• Understanding of Robotics concepts like kinematics, dynamics, controls, path planning and system identification.
• Experience with the MuJoCo robotic simulator. Nice to have: Nvidia Isaac, pybullet, other simulators.
• Deep understanding of Reinforcement Learning with preferable experience in research or production environment
• Experience architecting and managing large-scale training workloads, including deploying parallel simulations on cloud platforms (AWS, GCP, Azure) with distributed computing frameworks (e.g., Ray, Kubernetes).
• Familiarity with the use of game engines like Unity or Unreal. 

EDUCATION and/or EXPERIENCE:

• Education: MS or PhD in relevant fields (Computer Science, Robotics, Electrical Engineering, etc.)
• Experience: Significant experience (8+ years or 5+ with a graduate degree) in developing robotic simulations for  high-performance, contact-rich, and dynamic robotic environments.

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

Perks

• Competitive base w/ benefits
• Highly motivating equity incentive package
• Hybrid work schedule (i.e. work from home in some capacity) 
• Flexible work hours policy
• Professional development opportunities
• Open/Flexible Paid Time Off (PTO)
• 401k plan