DPU-Driven Cloud Acceleration Research Intern

ByteDance; Seattle (WA); On-site; USD 201,000 - 268,000; Full time

Job summary

ByteDance, located in Seattle, invites PhD students to join the DPU (Data Processing Unit) team for a 12-week internship. The role focuses on building cloud infrastructure, researching software-hardware co-design, and accelerating AI/ML workloads.

You will contribute to DPU-based cloud acceleration, distributed AI training, and end-to-end performance optimization while collaborating with hardware and AI infrastructure teams to transition ideas into production.

Qualifications

• Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
• Able to commit to a full-time, 12-week internship during

Responsibilities

• 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
• Collaborate with hardware architects, systems engineers, and AI infrastructure teams to transition research ideas into production.
• Contribute to technical proposals, architecture designs, publications, patents, and longer-term research directions

Education

PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field

Job description

ByteDance, located in Seattle, invites PhD students to join the DPU (Data Processing Unit) team for a 12-week internship. The role focuses on building cloud infrastructure, researching software-hardware co-design, and accelerating AI/ML workloads.

You will contribute to DPU-based cloud acceleration, distributed AI training, and end-to-end performance optimization while collaborating with hardware and AI infrastructure teams to transition ideas into production.