Tech Lead Engineer, Physical AI Infrastructure

What you'll do

• Set multi-quarter technical roadmaps and translate research, product, and customer needs into architecture and execution plans.
• Lead cross-team architecture and delivery, directly own major platform components, and remain accountable for end-to-end technical outcomes.
• Track advances in the field, mentor engineers, and contribute technical insights, software, or publications where appropriate.

What they ask for

• Bachelor's degree or above in a related technical field, or equivalent practical experience.
• 5 years of software engineering, machine learning systems, robotics, or related industry experience.
• 3+ years of experience as a tech lead.
• Deep expertise in at least one specified area: robotic learning, AI training and inference infrastructure, or robotics data and simulation systems; experience taking complex systems from prototype through validation and production deployment.

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, working with real-world robot systems, or publishing at leading ML, systems, or robotics conferences.

Tools

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

AI focus

Builds infrastructure for Physical AI, including robotic learning, data and simulation platforms, distributed training and inference, evaluation, and deployment on heterogeneous hardware.