Senior Research Scientist, Physical AI Infrastructure

Bytedance

San Jose (CA)

On-site

USD 218,000 - 388,000

Full time

3 days ago
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Benefits offered by this job

Medical insurance
Dental & Vision insurance
401(k) with company match
Parental leave
Disability coverage
Life insurance
Wellbeing benefits
Paid holidays
Sick days
Personal time off

Job summary

ByteDance is seeking a Senior Research Scientist to drive the Physical AI Infra platform in San Jose. This role leads design, implementation, and operation of core components across data pipelines, simulation, model training, and deployment on heterogeneous hardware.

You will advance scalable infrastructure for multimodal and robotics models, translate research into production capabilities, and guide complex project design with a focus on reliability and performance.

Qualifications

  • Bachelor's degree or above in a related technical field or equivalent practical experience.
  • 5 years of software engineering, ML systems, robotics, or related industry experience.
  • Strong fundamentals in software and systems engineering for production-scale distributed or data-intensive systems.
  • Deep expertise in robotic learning, AI training/inference infrastructure, or robotics data and simulation.

Responsibilities

  • Own design, implementation, validation, and operation of major components within a Physical AI platform.
  • Develop scalable infrastructure for training and serving multimodal and robotics models.
  • Translate research ideas into production-ready capabilities with reliability and performance targets.
  • Lead technical design for complex projects, balancing performance, reliability, cost, and delivery speed.
  • Collaborate with teams, mentor engineers, and contribute to shared architecture and standards.

Skills

Software engineering
ML systems
Robotics
Distributed systems

Education

Bachelor's degree or higher in CS/CE/Robotics/EE/AI

Job description

ByteDance is seeking a Senior Research Scientist to drive the Physical AI Infra platform in San Jose. This role leads design, implementation, and operation of core components across data pipelines, simulation, model training, and deployment on heterogeneous hardware.

You will advance scalable infrastructure for multimodal and robotics models, translate research into production capabilities, and guide complex project design with a focus on reliability and performance.

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