Simulation Environment

Genesis; San Carlos (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Built at scale simulations

Experience with robotics simulation工具

Robotics benchmarks experience

Embodied AI systems exposure

Job summary

Genesis seeks a skilled software engineer to build and optimize sim-ready digital twins for real assets, scenes, and tasks. You will tune physics, rendering, and robot settings to minimize the sim-to-real gap and collaborate with robotics, ML, and infrastructure teams to improve realism and coverage.

You will develop scalable pipelines to generate environments and iterate rapidly to boost model performance across simulation platforms.

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++

Software engineering

Tools

Genesis-world

Isaac Sim

MuJoCo

Newton

Drake

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.