Graduate Research Scientist, DPU & AI/ML Infrastructure

ByteDance

Seattle (WA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

ByteDance is seeking a PhD-level candidate to join the Data Processing Unit team in Seattle. The role focuses on building foundational infrastructure for cloud and AI workloads, with emphasis on high-performance DPU software, network acceleration, and hardware collaboration.

The team works across compute, networking, and storage, driving research and practical implementations for next-generation cloud platforms.

Qualifications

PhD in CS or related discipline, recently completed or pursuing completion.
Proficiency in C/C++ development and debugging.
Familiar with 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.