Cloud Acceleration Research Intern (DPU & AI Infra) - 2027 Start (PhD)
ByteDance, Seattle, Washington
What you will do
- 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