Member of Technical Staff - Simulation Engineer
Embedding Vc · San Francisco Bay Area
About this role
## Member of Technical Staff — Simulation Engineer ### About Moonlake Moonlake is building the frontier of interactive world models—systems that generate, simulate, and reason over 3D environments for robotics, embodied AI, and interactive applications. We develop the infrastructure that enables intelligent systems to learn, evaluate, and interact within realistic virtual environments before operating in the physical world. Our work sits at the intersection of: - Robotics - Embodied AI - Interactive 3D Worlds - World Models - Simulation Infrastructure - Physical AI Moonlake has raised **$28M** in seed funding from NVIDIA Ventures, Threshold Ventures, AIX Ventures, and notable angels including Naval Ravikant and Jeff Dean. ### The Role Build the simulation systems and infrastructure that power the next generation of robotics and embodied intelligence. This role focuses on developing **high-fidelity simulation environments** that accurately model robot behavior, sensors, physics, and real-world interactions. You’ll build simulation infrastructure used for: - Robot learning - Evaluation - Synthetic data generation - Sim-to-real transfer This is a hands-on software engineering role across robotics, simulation, physics, and distributed systems. ### What You’ll Do **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 for rapid experimentation and robot learning - Create reusable tooling to make 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 **Support Robot Learning** - Partner with robotics and AI teams to build environments for training and evaluating intelligent systems - Develop infrastructure for 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, 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 softw
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