Research Scientist - AI Compute & DPU - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

What you'll do

• Research and develop infrastructure for AI workloads, including network observability, elastic storage, heterogeneous power scheduling, and vector retrieval.
• Build AI-agent workflows and infrastructure that can automatically optimize systems and resources.
• Bridge research with implementation and evaluation of real-world systems.

What they ask for

• Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline, focused on distributed and ML systems.
• First-author publications in top venues with clear technical contributions.
• Hands-on experience implementing or optimizing real systems beyond prototypes.
• Strong understanding of compute, network architecture, and operating systems, plus deep expertise in at least one relevant area: LLM inference/AI-ML systems, AI system optimization, or software-hardware co-design.

Nice to have

• Research impact demonstrated through citations, follow-up work, or adoption in real systems; experience taking research into production.
• Expertise in frontier systems areas, technical leadership, open-source contributions, or industry research/lab collaboration.

Tools

DPDK, RDMA, Kubernetes, AIBrix, GPU, CPU, FPGA/ASIC, NCCL

AI focus

Research and develop AI infrastructure for LLMs and agents, including inference, scheduling, vector retrieval, and AI-agent-driven infrastructure optimization (AI for Infra).