Tech Lead Engineer: Physical AI Infrastructure

Bytedance

Seattle (WA)

On-site

USD 242,000 - 456,000

Full time

2 days ago
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Job summary

ByteDance's Infra-Compute division builds large-scale, highly available cloud and AI infrastructure powering public cloud offerings and internal products in the United States. The team focuses on AI training, inference, and agent infrastructure, expanding into Physical AI with data pipelines, simulation, and deployment across heterogeneous hardware.

The role leads technical strategy, architecture, and end-to-end delivery for major Physical AI platform components, mentoring engineers and driving

Qualifications

  • 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 robotic learning or AI training/inference infrastructure; experience with distributed training, GPUs, simulation, or data pipelines.

Responsibilities

  • Track advances in academia, industry, and open-source communities and contribute technical insights.
  • Own the technical strategy and multi-quarter roadmap for major Physical AI infrastructure areas.
  • Lead architecture and delivery across multiple engineers and partner teams; define interfaces and resolve trade-offs.
  • Define interfaces across the Physical AI lifecycle including data pipelines, simulation, training, evaluation, inference, and deployment.
  • Mentor engineers and raise the engineering bar across the team.

Skills

Software engineering
Tech lead
Machine learning systems
Robotics/AI infrastructure

Education

Bachelor's degree or higher

Tools

Isaac Lab
Isaac Sim
MuJoCo
Cosmos
vLLM Omni

Job description

ByteDance's Infra-Compute division builds large-scale, highly available cloud and AI infrastructure powering public cloud offerings and internal products in the United States. The team focuses on AI training, inference, and agent infrastructure, expanding into Physical AI with data pipelines, simulation, and deployment across heterogeneous hardware.

The role leads technical strategy, architecture, and end-to-end delivery for major Physical AI platform components, mentoring engineers and driving

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