Member of Technical Staff - Simulation Engineer

The role

This person will build simulation systems and infrastructure for robotics and embodied AI. They will develop high-fidelity environments to model robot behavior, sensors, physics, and real-world interactions.

What you will do

• 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

Required 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

Nice to have

• Experience with NVIDIA Isaac Sim or Omniverse
• Experience generating synthetic data for robotics or machine learning
• Experience with domain randomization or procedural environment generation
• Familiarity with ROS2 and modern robotics software stacks
• Experience optimizing simulation performance or GPU-accelerated simulation
• MS or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field

About the company

Moonlake is building the frontier of interactive world models that generate, simulate, and reason over 3D environments. The company is building the next generation of AI infrastructure for interactive digital worlds.