Senior Physical AI Infra Engineer

Bytedance; San Jose (CA); On-site; USD 218,000 - 388,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Parental leave

Short-term and long-term disability

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days Paid Personal Time

Job summary

ByteDance is seeking a Senior Development Engineer for Physical AI Infra in San Jose. You will independently own major components of a Physical AI platform, focusing on data pipelines, simulation, model training, inference, and deployment across heterogeneous hardware.

You will develop scalable infrastructure for multimodal and robotics models, translate research ideas into production-ready capabilities, and lead design decisions while mentoring engineers and aligning with engineering standards.

Qualifications

• Bachelor's degree or higher in a relevant technical field or equivalent experience.
• 5 years of software engineering, ML systems, robotics, or related industry experience.
• Strong software and systems engineering fundamentals for production-scale distributed or data-intensive systems.

Responsibilities

• Independently own design, implementation, validation, and operation of major components in 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, trade-offs across performance, reliability, cost and delivery speed.
• Collaborate with adjacent teams, mentor engineers, and contribute to shared standards.

Skills

Robotics

ML systems

Distributed systems

Education

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

Tools

GPU kernels

Distributed training

Job description

ByteDance is seeking a Senior Development Engineer for Physical AI Infra in San Jose. You will independently own major components of a Physical AI platform, focusing on data pipelines, simulation, model training, inference, and deployment across heterogeneous hardware.

You will develop scalable infrastructure for multimodal and robotics models, translate research ideas into production-ready capabilities, and lead design decisions while mentoring engineers and aligning with engineering standards.