Responsibilities
- Conduct research and development in DPU-based cloud acceleration and large-scale AI infrastructure.
- Explore software-hardware co-design using DPUs, GPUs, and custom hardware to optimize distributed AI training and inference.
- Develop acceleration techniques for distributed AI training and inference, including communication, data movement, resource management, and memory or cache systems.
- Analyze and optimize performance across hardware, device drivers, operating-system kernels, communication libraries, and user-space runtimes.
- Build prototypes and evaluate designs with 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.
Requirements
- 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 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 at least one of software-hardware co-design, computer architecture, distributed storage systems, high-performance networking, or AI/ML systems.
- Preferred: research demonstrated through publications, technical reports, open-source contributions, or substantial research projects.
- Preferred: experience designing, implementing, and evaluating production-quality or research prototype systems.
- Preferred: familiarity with DPDK, RDMA, eBPF, high-performance communication libraries, hypervisors, kernel bypass, device virtualization, hardware offload, LLM serving, disaggregated inference, KV-cache management, distributed data loading, preprocessing, storage systems, performance modeling, profiling, or benchmarking.
- Preferred: strong analytical, creative problem-solving, communication, and cross-functional collaboration skills.
Benefits
- Full-time, 12-week internship during Summer 2027.
- Hands-on learning, community-building, professional development events, and collaboration with industry experts.
- Applications are reviewed on a rolling basis; applicants should state their availability, including start and end dates, on their resume.
About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.