Senior Cloud DPU & AI Infra Engineer

ByteDance; Seattle (WA); On-site; USD 207,000 - 368,000; Full time

Job summary

ByteDance seeks a seasoned engineer for its DPU team in Seattle to build high‑performance networking software and accelerate AI/ML workloads. You will work across software and hardware to deliver low-latency, reliable distributed infrastructure, leveraging DPUs, GPUs, and native OS optimizations.

The role emphasizes collaboration with hardware teams, architecture proposal, and end-to-end performance tuning, with opportunities to influence long-term research directions in cloud-scale computing.

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.
• Solid understanding of compute, network architecture, and operating systems.
• Background in software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.
• Ph.D. in related fields with research training and publications (preferred).
• 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 NCCL Collectives and AI communication patterns.

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

compute/network/OS fundamentals

software-hardware co-design

AI/ML infrastructure familiarity

Education

B.S./M.S. in Computer Science or related field

Ph.D. with strong publications

Ph.D. with research training

Tools

DPDK

OVS

SR-IOV

eBPF

CUDA

NCCL Collectives

Job description

ByteDance seeks a seasoned engineer for its DPU team in Seattle to build high‑performance networking software and accelerate AI/ML workloads. You will work across software and hardware to deliver low-latency, reliable distributed infrastructure, leveraging DPUs, GPUs, and native OS optimizations.

The role emphasizes collaboration with hardware teams, architecture proposal, and end-to-end performance tuning, with opportunities to influence long-term research directions in cloud-scale computing.