Member of Technical Staff - Simulation Engineer
San Francisco, CAFull-timePosted 11mo ago
About the role
Role focused on building high-fidelity robotics simulation environments, simulation infrastructure, and supporting robot learning, evaluation, and sim-to-real transfer for embodied AI applications.
Responsibilities
- Design and develop simulation environments for robotics training and evaluation
- Build simulation systems supporting perception, navigation, manipulation, and embodied AI tasks
- Develop scalable simulation workflows that enable rapid experimentation and robot learning
- Build reusable tooling that makes simulation development efficient and reliable
- Compare simulation outputs against real-world robot behavior
- Model robot dynamics, sensors, contacts, and environmental interactions
- Tune simulation fidelity through calibration and validation
- Improve policy transfer using calibration, benchmarking, and domain randomization techniques
- Partner with robotics and AI teams to build environments for training and evaluating intelligent systems
- Develop infrastructure supporting large-scale synthetic data generation
- Create simulation benchmarks for evaluating robotics models
- Optimize simulation environments for machine learning workflows
- Develop production-quality software supporting simulation systems
- Build tools that improve simulation reliability, testing, and scalability
- Improve pipelines for simulation creation, execution, and evaluation
- Optimize simulation performance while maintaining physical realism
Qualifications
- Experience building robotics simulation systems for robotics, autonomy, embodied AI, or physical AI
- Experience with robotics simulators such as Isaac Sim, MuJoCo, PyBullet, Gazebo, Drake, or equivalent
- Understanding of robot dynamics, physics simulation, sensor modeling, and sim-to-real transfer
- Strong software engineering skills in Python, C++, or similar languages
- Experience building production-quality simulation software and infrastructure
- Experience writing reliable, maintainable, and well-tested code
- Strong systems thinking and problem-solving skills
- Ability to work closely with robotics, machine learning, and research teams
Skills
Required:Robotics simulation systemsRobotics simulatorsRobot dynamicsSensor modelingPythonC++Production-quality softwareTesting & reliabilitySystems thinkingCollaboration
Benefits
- Not specified in the description
Last updated Jul 29, 2026. Interested? Apply on the company site.
About Moonlake
We’re building AI so anyone can create interactive worlds.
Moonlake AI is a team of Stanford CS PhDs, Math Olympiad and ACM ICPC medalists, industry veterans from NVIDIA, Meta, Epic Games, and Netflix, with the mission of democratizing studio-grade interactive worlds.
AIinteractive worldsdemocratizing creative technology
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