Simulation Environment

WHAT YOU’LL DO
– Build sim-ready digital twin environments for real work assets, scenes, and tasks.
– Build a pipeline that can generate simulation environment at scale.
– 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.
– Develop pipeline for iterating on simulation environment to boost model performance.
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.