Member of Technical Staff - Simulation Engineer

Member Of Technical Staff – Simulation Engineer We'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. Build 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 Focus Robotics 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 RoboticsPerceptionManipulationNavigationEmbodied AIPhysical reasoning

Moonlake'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.