Cloud Acceleration & AI Infrastructure Intern (PhD)

Bytedance; San Jose (CA); On-site; USD 68,000 - 97,000; Full time

Benefits offered by this job

Health insurance

Housing allowance

Paid holidays

Job summary

ByteDance is seeking PhD candidates for an internship with the DPU team, focusing on cloud acceleration and AI infrastructure. The role involves software-hardware co-design, development of AI training/inference acceleration techniques, and collaboration with hardware and software teams to transition research into production.

Strong focus on C/C++, Rust, Linux, and distributed systems, with opportunities to contribute to publications and long-term research directions.

Qualifications

• Pursuing a PhD in computer science, computer engineering, electrical engineering, or a related technical field.
• Available for a full-time, 12-week internship during Summer 2027.
• Proficiency in C/C++ or Rust, including systems-level development and debugging.
• Strong Linux systems development experience.
• Solid understanding of operating systems, computer architecture, networking, or distributed systems.
• Background in software-hardware co-design, computer architecture, distributed storage systems, high-performance networking, or AI/ML systems.

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 techniques for accelerating distributed AI training and inference, including communication, data movement, resource management, and memory or cache systems.
• Perform end-to-end performance analysis and optimization across hardware, device drivers, operating-system kernels, communication libraries, and user-space runtimes.
• Build prototypes and evaluate proposed designs using representative cloud and AI workloads at scale.
• 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

Skills

C/C++

Rust

Linux systems development

Operating systems knowledge

Distributed systems understanding

Software-hardware co-design

Education

PhD in CS/CE/EE

Tools

DPDK

RDMA

eBPF

Hypervisors

Job description

ByteDance is seeking PhD candidates for an internship with the DPU team, focusing on cloud acceleration and AI infrastructure. The role involves software-hardware co-design, development of AI training/inference acceleration techniques, and collaboration with hardware and software teams to transition research into production.

Strong focus on C/C++, Rust, Linux, and distributed systems, with opportunities to contribute to publications and long-term research directions.