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.