Simulation Environment

Genesis AI; San Carlos (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Genesis AI in California is seeking an experienced Robotics Simulation Engineer to build sim-ready digital twins of real assets and tasks, and to develop scalable pipelines that generate simulation environments at scale.

You will tune physics, rendering, and robot settings to reduce the sim-to-real gap, and collaborate with teams across simulation, ML, and infrastructure to improve realism and model performance.

Qualifications

• 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.

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++

Robotics

Software architecture

Tools

Genesis-World

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.