Tech Lead - AI Infra & DPU Research Scientist

ByteDance; Seattle (WA); On-site; USD 256,500 - 427,500; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

Holidays

Sick days

Personal time

Job summary

ByteDance seeks a Tech Lead, Research Scientist for DPU and AI Infra in Seattle. Lead design and implementation of high-performance DPU network software, collaborating with hardware teams on co-design efforts for networking and storage acceleration.

The role emphasizes AI/ML infrastructure acceleration using DPUs, GPUs, and custom hardware, driving OS, driver, and runtime optimizations and contributing to long-term research directions.

Qualifications

• B.S./M.S. in Computer Science, Computer Engineering, or related fields; or Ph.D. with strong research/publications.
• 5+ years of relevant industry experience (exception for Ph.D. with strong background).
• Proficiency in C/C++ development and debugging.
• Strong Linux systems development experience.
• Solid understanding of compute, network architecture, and operating systems.
• Background in software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.

Responsibilities

• Design and develop DPU network software with a focus on high performance, low latency, and reliability.
• Collaborate with hardware teams to build software-hardware co-design solutions for networking and storage acceleration.
• Explore AI/ML infrastructure acceleration, leveraging DPUs, GPUs, and custom hardware to optimize distributed training and inference.
• Drive end-to-end performance optimization, from OS kernels and drivers to user-space runtime systems.
• Contribute to architecture design, technical proposals, and long-term research directions.

Skills

C/C++ development

Linux systems

Compute architecture

Networking

AI/ML systems

Education

B.S./M.S. in CS/CE or related, or Ph.D.

Tools

DPDK

OVS

SR-IOV

eBPF

NCCL

CUDA

Job description

ByteDance seeks a Tech Lead, Research Scientist for DPU and AI Infra in Seattle. Lead design and implementation of high-performance DPU network software, collaborating with hardware teams on co-design efforts for networking and storage acceleration.

The role emphasizes AI/ML infrastructure acceleration using DPUs, GPUs, and custom hardware, driving OS, driver, and runtime optimizations and contributing to long-term research directions.