Machine Learning Infrastructure Simulation Engineer, Optimus

Machine Learning Infrastructure Simulation Engineer, Optimus

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What To Expect

The Optimus Simulation team is at the forefront of advancing humanoid robotics by building a high-fidelity virtual world where Optimus can safely learn, adapt, and improve. Our mission is to recreate the complexities of the real world in simulation, enabling scalable testing, rapid iteration, and accelerated development of the Optimus autonomy stack. We design and deploy cutting-edge simulation systems that blend accurate physics modeling, photorealistic rendering, and intelligent virtual agents, creating environments that challenge Optimus in the same way the physical world would. These simulations allow us to rigorously evaluate behavior, uncover edge cases, and drive continuous improvements in autonomy and decision-making.

As a member of this team, you will play a pivotal role in shaping the future of humanoid robotics. Your contributions will directly accelerate Optimus’ ability to operate effectively in real-world environments by closing the gap between simulation and reality. We are looking for passionate engineers with expertise in distributed systems, ML infrastructure, and graphics / game development who are excited to build scalable RL infrastructure for training robots, pushing the boundaries of large-scale simulation, efficient training pipelines, and high-performance virtual environments.

What You'll Do

• Design, implement, and optimize scalable Simulation and RL infrastructure for training humanoid robots in simulated environments, leveraging distributed systems for parallel processing and high-throughput simulations
• Optimize performance across the simulation stack, including distributed systems, Inference, and rendering, to ensure optimal usage of hardware resources and fast, efficient simulations
• Drive innovation in sim-to-real strategies using simulation technologies and distributed computing to ensure Optimus performs reliably across both virtual and real-world environments
• Deliver high-quality, production-ready code in a dynamic and fast-paced environment

What You'll Bring

Benefits

Compensation

Job details

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