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, Mu. JoCo, 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.