Simulation Environment Engineering & Research Bay Area

Genesis; Northern (KY); Hybrid; USD 90,000 - 140,000; Full time

Job summary

Genesis is seeking engineers to build sim-ready digital twin environments for real work assets, scenes, and tasks. You will develop scalable pipelines to generate simulation environments and tune physics, rendering, and robot settings to close the sim-to-real gap.

You will collaborate with robotics, simulation, ML, and infrastructure teams to boost model performance and realism across assets, scenes, and tasks.

Qualifications

• Strong software engineering skills in Python or 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 collaborate across robotics, simulation, ML, and infrastructure teams to turn ambiguous needs into robust systems.

Responsibilities

• 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.

Skills

Python

C++

Tools

Genesis World

Isaac Sim

MuJoCo

Gazebo

Job description

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.