ByteDance
Tech Lead, Research Scientist - DPU & AI Infra
Seattle, Washington · Full-time · Posted Oct 28, 2026
- Experience
- 5+ years of relevant industry experience; exception for Ph.D. with strong background.
- Education
- B.S./M.S. in Computer Science, Computer Engineering, or related fields; or Ph.D. with strong research/publications.
About the job
Designs high-performance DPU network software and advances software-hardware infrastructure for networking, storage, and AI/ML workloads.
What you'll do
- Develop DPU network software focused on performance, latency, and reliability; optimize systems from OS kernels and drivers to user-space runtimes.
- Collaborate with hardware teams on networking and storage acceleration through software-hardware co-design.
- Explore DPU, GPU, and custom-hardware acceleration for distributed AI training and inference; contribute to architecture and research directions.
What they ask for
- 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.
Nice to have
- Experience with network virtualization (OVS, SR-IOV, eBPF) or DPDK and high-performance user-space networking.
- Hardware acceleration, NCCL Collectives, AI communication and parallelization, or AI/ML infrastructure experience.
Tools
C/C++, Linux, OVS, SR-IOV, eBPF, DPDK, FPGA, ASIC
AI focus
Explore infrastructure acceleration for distributed AI/ML training and inference using DPUs, GPUs, and custom hardware; optimize AI/ML infrastructure and workloads.
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