Tech Lead, Physical AI Infrastructure

ByteDance; San Jose (CA); On-site; USD 254,000 - 480,000; Full time

Job summary

ByteDance’s Infra-Compute division builds large-scale cloud and AI infrastructure powering our public cloud offerings and internal products. We are expanding into Physical AI, building data/simulation platforms, distributed training, and deployment on heterogeneous hardware, collaborating with customers, researchers, open-source communities, and hardware partners.

We focus on architecture, multi-quarter roadmaps, and end-to-end technical outcomes, while mentoring engineers and raising the

Qualifications

• Bachelor's degree or above in Computer Science, Computer Engineering, Robotics, Electrical Engineering, Artificial Intelligence, or related 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 robotic learning, RL, vision-language-action models, AI training and inference infrastructure, or robotics data and simulation systems.
• Experience taking technically complex systems from prototype through production deployment.
• Strong communication skills, self-motivation, sound engineering judgment, and cross-team collaboration.

Responsibilities

• Track advances in academia, industry, and open-source communities; contribute technical insights, software, and, where appropriate, publications.
• Own the technical strategy and multi-quarter roadmap for major Physical AI infrastructure areas, translating ambiguous requirements into architecture and execution plans.
• Lead architecture and delivery across multiple engineers and partner teams, define system boundaries and interfaces, resolve cross-stack trade-offs, and own end-to-end outcomes.
• Define interfaces across the Physical AI lifecycle—including data pipelines, simulation, model training, evaluation, inference, and deployment—while owning one or more major platform components.
• Mentor engineers, develop technical leaders, and raise the engineering bar across the team.

Skills

Software engineering

Machine learning

Robotics

Tech lead

Distributed training

Education

Bachelor's degree or above in CS/Engineering/AI or related field

Job description

ByteDance’s Infra-Compute division builds large-scale cloud and AI infrastructure powering our public cloud offerings and internal products. We are expanding into Physical AI, building data/simulation platforms, distributed training, and deployment on heterogeneous hardware, collaborating with customers, researchers, open-source communities, and hardware partners.

We focus on architecture, multi-quarter roadmaps, and end-to-end technical outcomes, while mentoring engineers and raising the