Genesis AI
Simulation Environment
Bay Area · On-site · Full-time · Posted Jul 2, 2026
About the job
Build scalable, sim-ready digital twin environments and pipelines, tuning simulation properties and iterating on environments to improve realism and model performance.
What you'll do
- Build digital twin environments and pipelines to generate simulation environments at scale.
- Tune physics, rendering, geometry, and robot settings to reduce the sim-to-real gap.
- Collaborate across simulation, rendering, asset, AI, and robotics teams to improve simulation realism, coverage, and usefulness.
What they ask for
- Strong software engineering skills in Python, C++, or a 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 have
- Experience with closed-loop or log-replay evaluation at scale.
- Experience with robotics simulation tools, synthetic data, scene generation, asset pipelines, sim-to-real, robotics benchmarks, or embodied AI systems.
Tools
Python, C++, genesis-world, Isaac Sim, MuJoCo, Newton, Drake, Gazebo
AI focus
Develop simulation environments and iteration pipelines to improve model performance.
Model-written summary · the original posting is authoritative