Embedding Vc
Member of Technical Staff - Simulation Engineer
San Francisco Bay Area. Posted 3 months ago
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 for robot learning
- Build reusable tooling for simulation development
- 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
- Partner with robotics and AI teams to build environments for training and evaluating 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 interactive world models that generate, simulate, and reason over 3D environments for robotics and embodied AI. The team has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX Ventures, and notable angels.