AI Compute & DPU Research Scientist

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

Job summary

ByteDance is recruiting PhD graduates to help build the next generation AI compute and DPU infrastructure. The role focuses on disaggregated, heterogeneous AI workloads, high-performance scheduling, and scalable vector retrieval across cloud-native environments.

Successful candidates will contribute to AI-native infrastructure, hardware/software co-design, and open-source collaborations while working on geographically distributed data centers to power flagship ByteDance products.

Qualifications

• PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• First-author publications in top venues (e.g., OSDI, SOSP, NSDI, NeurIPS, MLSys) with clear technical contributions.
• Strong system-building ability with hands-on experience beyond prototypes.
• Solid understanding of compute, network architecture, and operating systems.
• Deep expertise in LLM inference / AI-ML systems, or system optimization / software-hardware co-design.
• Demonstrated ownership of significant technical work with clear problem framing and decisions.
• Strong programming skills and ability to reason about complex system design.

Skills

Distributed systems

ML systems

Publications

System building

Compute architecture

Networking

Programming

Education

PhD in CS/CE/SE

Tools

RDMA

NCCL

DPDK

SPDK

OVS

SR-IOV

eBPF

Job description

ByteDance is recruiting PhD graduates to help build the next generation AI compute and DPU infrastructure. The role focuses on disaggregated, heterogeneous AI workloads, high-performance scheduling, and scalable vector retrieval across cloud-native environments.

Successful candidates will contribute to AI-native infrastructure, hardware/software co-design, and open-source collaborations while working on geographically distributed data centers to power flagship ByteDance products.