Simulation Engineer

Responsibilities

• Develop simulation environments for VLA training and evaluation, including manipulation and wheeled robots and task scenarios
• Reduce the sim-to-real gap through physical parameter approximation, sensor noise modeling, and domain randomization
• Build benchmarks and evaluation harnesses that connect training data generation with quantitative evaluation
• Improve accuracy, reproducibility, and throughput by comparing real-robot and simulation results
• Turn problems at customer sites into reproducible simulation scenarios

Qualifications

• Ability to implement and debug features in Python / C++
• Ability to read and understand code with limited documentation
• Ability to quickly learn and apply new simulators and frameworks
• Ability to evaluate trade-offs between accuracy, reproducibility, throughput, and maintainability

Preferred Qualifications

• Experience with robotics simulators such as Isaac Sim or MuJoCo
• Experience with robot manipulation or navigation projects
• Experience with domain randomization and sim-to-real transfer
• Experience building evaluation environments for VLA or Physical AI
• Experience optimizing large-scale parallel simulation, rendering, or physics engines

Who We Are Looking For

• You understand the differences between simulation and real robots and want to narrow that gap
• You want to build simulations that can be reused across sites rather than one-off environments
• You learn new technologies quickly and simplify when a simpler approach is the right fit