The RoleWe're looking for a
Member of Technical Staff - Simulation Engineer to build the simulation systems and infrastructure that power robotics and embodied AI.
This role focuses on developing high-fidelity simulation environments that accurately model robot behavior, sensors, physics, and real-world interactions. You'll build the simulation infrastructure used for robot learning, evaluation, synthetic data generation, and sim-to-real transfer.
You'll collaborate closely with teams working on robotics, world models, AI systems, and simulation infrastructure.
This is a highly hands-on software engineering role for builders who enjoy solving challenging problems across robotics, simulation, physics, and distributed systems.
What You'll DoBuild Robotics Simulation Systems- 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
Improve Sim-to-Real Transfer- 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
Support Robot Learning- 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
Build Simulation Infrastructure- 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
Areas of FocusRobotics Simulation- Physics simulation
- Robot dynamics
- Sensor simulation
- Sim-to-real transfer
- Robot learning environments
Simulation Infrastructure- Synthetic data generation
- Simulation tooling
- Environment automation
- Performance optimization
- Benchmarking and validation
Robotics- Perception
- Manipulation
- Navigation
- Embodied AI
- Physical reasoning
What We're Looking For- 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
Why This Role MattersMoonlake's vision depends on simulation systems that allow intelligent agents to learn, evaluate, and improve before operating in the physical world.
The quality of our world models, robotics systems, and AI infrastructure depends on simulation environments that are physically accurate, computationally efficient, and scalable.
As a Simulation Engineer, you'll build the core simulation infrastructure that powers the next generation of robotics and embodied AI.
We are committed to being an on-site, in-person team currently based in San Francisco.
