Research Scientist Graduate (DPU & AI Infra) - 2027 Start (PhD)

What you'll do

• Research and prototype ways to accelerate distributed AI training and inference using DPUs, GPUs, and custom hardware.
• Analyze and optimize performance across hardware, drivers, operating-system kernels, communication libraries, and runtimes.
• Evaluate designs with representative workloads and contribute to architecture proposals and research directions.

What they ask for

• Ph.D. in a related field, with research training and publications.
• Proficiency in C/C++ or Rust, including systems-level development and debugging.
• Linux systems development experience.
• Solid understanding of operating systems, computer architecture, networking, or distributed systems; background in at least one listed specialty area.

Nice to have

• Experience with software-hardware co-design, network virtualization, or DPDK and high-performance user-space networking.
• Hardware acceleration, NCCL Collectives, AI communication and parallelization, or AI/ML infrastructure experience.

Tools

C/C++, Rust, Linux, DPDK, RDMA, OVS, SR-IOV, eBPF

AI focus

Research and optimize AI/ML infrastructure for distributed training and inference, including communication, data movement, resource management, and memory or cache systems.