Simulation Environment

Genesis AI; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Genesis AI in the United States is seeking a skilled simulation software engineer to build sim-ready digital twin environments for real assets, scenes, and tasks. You will develop a scalable pipeline to generate simulation environments at scale and tune physics, rendering, and geometry to reduce the sim-to-real gap.

Collaborating with robotics, simulation, ML, and infrastructure teams, you will drive realism, coverage, and usefulness of simulation while iterating to boost model performance

Qualifications

• Experience building simulation systems or large-scale experimentation tools.
• Strong understanding of software architecture and data pipelines.
• Ability to collaborate across robotics, simulation, ML, and infrastructure teams.

Responsibilities

• Build sim-ready digital twin environments for real work assets, scenes, and tasks.
• Develop pipeline that can generate simulation environments 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 simulation

Distributed systems

Production engineering

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.