Simulation Infrastructure

WHAT YOU’LL DO INFRASTRUCTURE - Build core simulation-centered infrastructure for robotics model development, evaluation, and iteration. - Design scalable systems for creating, running, and managing diverse simulation workloads across tasks, environments, and robots. - Develop reusable environment frameworks, task interfaces, and tooling that make simulation workflows more reliable and observable. SIMULATION ENVIRONMENT - Build sim-ready digital twin environments for real work assets, scenes, and tasks. - Tune physics, rendering, geometry, robot settings to reduce sim-to-real gap. - Work closely with simulation engine, rendering, asset, AI, and robotics teams to improve realism, coverage, and usefulness of simulation. WHAT YOU’LL BRING - Strong software engineering skills in Python, C++, or similar language. - Experience building simulation systems, robotics infrastructure, evaluation platforms, or large-scale experimentation tools. - Strong understanding of software architecture, data pipelines, distributed systems, and production engineering practices. - Ability to work across robotics, simulation, ML, and infrastructure teams to turn ambiguous needs into robust systems. BONUS POINTS - Built closed-loop or log-replay evaluation at scale. - Experience with robotics simulation tools such as genesis-world, Isaac Sim, MuJoCo, Newton, Drake, Gazebo, or similar platforms. - Experience with synthetic data, scene generation, asset pipelines, sim-to-real, or robotics benchmarks. - Experience with robot manipulation, mobile manipulation, humanoids, or embodied AI systems.