Senior DPU & AI Infrastructure Scientist

ByteDance; Seattle (WA); On-site; USD 202,160 - 368,220; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

ByteDance seeks a Senior Research Scientist for the DPU & AI Infra team in Seattle to design and optimize high-performance DPU network software with cross-team collaboration on software-hardware co-design for networking and storage acceleration.

You will explore AI/ML infrastructure acceleration using DPUs, GPUs, and custom hardware to optimize distributed training and inference, while contributing to architecture and research directions.

Qualifications

• B.S./M.S. in Computer Science, Computer Engineering, or related fields; or Ph.D. with strong research/publications.
• 3+ years of relevant industry experience (exception for Ph.D. with strong background).
• Proficiency in C/C++ development and debugging.
• Strong Linux systems development experience.

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 development

Software-hardware co-design

Distributed systems

High-performance networking

AI/ML systems

Education

B.S./M.S. in Computer Science or Computer Engineering; or Ph.D.

Tools

DPDK

SR-IOV

eBPF

OVS

CUDA

NCCL

Job description

ByteDance seeks a Senior Research Scientist for the DPU & AI Infra team in Seattle to design and optimize high-performance DPU network software with cross-team collaboration on software-hardware co-design for networking and storage acceleration.

You will explore AI/ML infrastructure acceleration using DPUs, GPUs, and custom hardware to optimize distributed training and inference, while contributing to architecture and research directions.