Senior Research Scientist - DPU & AI Infra

What you'll do

• Design and develop reliable, low-latency DPU network software and collaborate on networking and storage acceleration.
• Explore DPU, GPU, and custom-hardware acceleration for distributed AI training and inference.
• Optimize performance from OS kernels and drivers to user-space runtimes, and contribute to architecture and research direction.

What they ask for

• B.S./M.S. in Computer Science, Computer Engineering, or a related field, or a Ph.D. with strong research/publications.
• 3+ years of relevant industry experience; exception for Ph.D. candidates with a strong background.
• Proficiency in C/C++ development and debugging, and strong Linux systems development experience.
• Solid understanding of compute, network architecture, and operating systems; background in at least one of software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems.

Nice to have

• Ph.D. in a related field with research training and publications.
• Experience with software-hardware co-design, network virtualization (OVS, SR-IOV, eBPF), DPDK, hardware acceleration, NCCL Collectives, or AI/ML infrastructure.

Tools

C/C++, Linux, OVS, SR-IOV, eBPF, DPDK, NCCL Collectives, CUDA

AI focus

Accelerates distributed AI/ML training and inference using DPUs, GPUs, and custom hardware; may involve AI/ML infrastructure such as inference KV cache systems and data preprocessing systems.