MTS, Simulation Infrastructure Engineer

Genesis • San Carlos, CA

12d

About The Position

This role focuses on building and enhancing the core simulation infrastructure for robotics model development, evaluation, and iteration. The engineer will design scalable systems for managing diverse simulation workloads and develop reusable frameworks to improve the reliability and observability of simulation workflows. Additionally, the role involves creating sim-ready digital twin environments, tuning simulation parameters to bridge the sim-to-real gap, and collaborating with various teams to improve the overall realism and usefulness of the simulation.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Build core simulation-centered infrastructure for robotics model development, evaluation, and iteration.
• Design scalable systems for creating, running, and managing diverse simulation workloads across tasks, environments, and robots.
• Develop reusable environment frameworks, task interfaces, and tooling that make simulation workflows more reliable and observable.
• Build sim-ready digital twin environments for real work assets, scenes, and tasks.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed