Senior Development Engineer, Physical AI Infra

What you'll do

• Own the design, implementation, validation, and operation of major Physical AI platform components.
• Develop scalable infrastructure for training and serving robotics and multimodal models, and bring research ideas into reliable production capabilities.
• Lead complex technical projects through production adoption; collaborate with teams, mentor engineers, and contribute to shared standards.

What they ask for

• Bachelor's degree or above in a related technical field, or equivalent practical experience.
• Strong software and systems engineering fundamentals, including experience with production-scale distributed or data-intensive systems.
• Deep expertise in at least one area: robotic learning; AI training and inference infrastructure; or robotics data and simulation systems.

Nice to have

• Contributions to relevant open-source projects such as Isaac Lab, Isaac Sim, MuJoCo, Cosmos, vLLM-Omni, SGLang Omni, or RLInf.
• Experience building large-scale AI or robotics platforms for multiple teams or external customers, or with real-world robot systems and operational challenges.

Tools

Isaac Lab, Isaac Sim, MuJoCo, Cosmos, vLLM-Omni, SGLang Omni, RLInf

AI focus

Develop infrastructure for Physical AI, including data and simulation platforms, distributed training and inference, and deployment on heterogeneous hardware; support multimodal and robotics models such as vision-language-action models, world models, and robot policies.