Senior Development Engineer, Physical AI Infra

What you'll do

• Own design, implementation, validation, and operation of major Physical AI platform components.
• Develop scalable infrastructure for training and serving multimodal and robotics models.
• Lead complex technical projects through production adoption and collaborate on architecture and engineering standards.

What they ask for

• Bachelor’s degree or above in a listed technical field, or equivalent practical experience.
• 5 years of software engineering, machine learning systems, robotics, or related industry experience.
• Experience designing, building, and operating production-scale distributed or data-intensive systems.
• Deep expertise in at least one listed 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.

Tools

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

AI focus

Infrastructure for Physical AI, including multimodal and robotics models such as vision-language-action models, world models, and robot policies; work spans data, simulation, training, evaluation, inference, and heterogeneous-hardware deployment.