Tech Lead, Research Scientist - DPU & AI Infra

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

Tech Lead, Research Scientist – DPU & AI Infra

Location: Seattle

Team: Infrastructure

Employment Type: Regular

Job Code: A07481

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.

Qualifications

• Minimum 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 at least one of: software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.
  
  
  
  


• Preferred Qualifications:
  
  
  
  • Ph.D. in related fields with research training and publications.
  
  
  • Experience with software-hardware co-design (networking, storage, or distributed compute).
  
  
  • Hands-on experience with network virtualization (OVS, SR-IOV, eBPF).
  
  
  • Familiarity with DPDK and high-performance user-space networking.
  
  
  • Bonus points for hardware acceleration experience (FPGA/ASIC/GPU/CUDA).
  
  
  • Bonus points for experience with NCCL Collectives along with AI communication patterns and parallelization techniques.
  
  
  • Proven experience designing and building AI/ML infrastructure related but not limited to inference kv cache system, data preprocessing system.
  
  
  
  

Job Information

The base salary range for this position in Seattle is $232,560 – $427,500 annually.

Compensation may vary based on qualifications, skills, and experience.

Benefits

Medical, dental, and vision insurance; 401(k) savings plan with company match; paid parental leave; short-term and long-term disability coverage; life insurance; wellbeing benefits; 10 paid holidays per year; 10 paid sick days per year; 17 days of paid personal time.

Equal Opportunity Employment

This position is open to all qualified candidates; background checks may be required for certain positions.

For Los Angeles County (unincorporated) candidates, qualified applicants with arrest or conviction records will be considered in accordance with applicable laws. However, certain duties may be impacted by criminal history and could result in withdrawal of conditional offer.

• Interacting with clients or colleagues.


• Handling confidential information.


• Exercising sound judgment.