Simulation Environment

GenesisSan Carlos, CA

About The Position

This role focuses on building simulation environments for robotics and AI development. The goal is to create digital twins of real-world assets, scenes, and tasks that are ready for simulation. This involves developing scalable pipelines for environment generation, tuning physics and rendering for realism, and collaborating with various engineering teams to enhance the simulation's effectiveness. A key aspect is iterating on these environments to improve model performance.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • Build sim-ready digital twin environments for real work assets, scenes, and tasks.
  • Build a pipeline that can generate simulation environments at scale.
  • Tune physics, rendering, geometry, and robot settings to reduce the sim-to-real gap.
  • Work closely with simulation engine, rendering, asset, AI, and robotics teams to improve realism, coverage, and usefulness of simulation.
  • Develop pipelines for iterating on simulation environments to boost model performance.
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