Tech Lead Engineer, Physical AI Infra

What you'll do

• Set technical strategy and multi-quarter roadmaps for Physical AI infrastructure; translate research, product, and customer needs into architecture and execution plans.
• Lead architecture and delivery across engineers and partner teams, own major platform components, and oversee end-to-end technical outcomes.
• Track advances in academia, industry, and open source; contribute technical insights and software, mentor engineers, and develop technical leaders.

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 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 technically complex systems from prototype through validation and production deployment.

Nice to have

• Contributions to relevant open-source projects; experience building large-scale AI or robotics platforms or working with real-world robot systems.
• Publications at leading machine learning, systems, or robotics conferences.

Tools

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

AI focus

Builds infrastructure for Physical AI, including robotics data and simulation, distributed training and inference, model evaluation, and deployment on heterogeneous hardware.