Cloud Acceleration Research Intern (DPU & AI Infra) - 2027 Start (PhD)

Location

:

Seattle

Team

:

Technology

Employment Type

:

Intern

Job Code

:

A127642

Responsibilities

About the Team

The ByteDance DPU (Data Processing Unit) team builds foundational cloud and AI computing infrastructure for ByteDance and Volcano Engine. Our mission is to advance the architecture, development, and research of next-generation software-hardware co-design technologies across compute, networking, and storage for cloud and AI computing. Our technology stack spans

• Cloud virtualization, hypervisors, and operating systems
• High-performance networking, including DPDK and RDMA
• High-speed interconnects, virtual switching, and network offload
• Distributed storage and I/O acceleration
• Orchestration and scheduling for AI/ML workloads

We work at the intersection of systems research, distributed infrastructure, and hardware acceleration. Our technologies operate at cloud scale and help shape the next generation of cloud and AI computing platforms.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.

Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

Responsibilities

• Conduct research and development in DPU-based cloud acceleration and large-scale AI infrastructure.
• Explore software-hardware co-design opportunities for AI/ML infrastructure, leveraging DPUs, GPUs, and custom hardware to optimize distributed training and inference.
• Develop new tec