Senior RDMA Research Architect

Job Title

Senior RDMA Research Architect

Role Summary

Join a research group advancing RDMA, transport and NIC microarchitecture to improve networking for large-scale AI workloads. The role spans analysis, modeling, algorithm and transport design, and translating research findings into product proposals.

Work with architects and researchers to identify bottlenecks, validate solutions, and measure system-level impact across hardware and software stacks.

Experience Level

Senior-level. The posting requests approximately 4+ years of relevant experience and expects demonstrated independent research and systems impact.

Responsibilities

Primary responsibilities focus on research, validation, and translating results into product-relevant proposals.

• Conduct research and analysis for the RDMA NIC & Transport Research group.
• Develop deep expertise in NVIDIA’s RDMA and transport architecture.
• Identify architectural gaps, opportunities, and competitive advantages.
• Form hypotheses and validate them via modeling, simulation, and experimentation.
• Translate research findings into concrete product proposals and microarchitectural recommendations.
• Collaborate with architects, engineers, and cross-functional teams to measure system-level value.

Requirements

Must-have skills and experience to perform the role effectively.

• Minimum ~4 years of relevant industry or research experience in networking, systems, or related areas.
• Proven ability to bridge across application, transport, and microarchitectural layers and deliver verifiable system-wide improvements.
• Experience making engineering trade-offs between research objectives and time-to-market constraints.
• Practical programming and debugging experience within production-scale software environments.
• Strong interpersonal and communication skills; able to present technical findings clearly to technical and non-technical audiences.

Nice-to-have:

• Deep expertise in networking domains such as RDMA transport protocols, congestion control, multipath/load-balancing, NIC microarchitecture, collective communication (NCCL), rank placement, or network topology.
• Demonstrated drive for impact and history of influential research or product contributions.

Education Requirements

B.Sc. or M.Sc. in Electrical Engineering, Computer Science, or Computer Engineering is stated as required. A PhD or equivalent engineering/research experience is listed as a preferred differentiator ("PhD or equivalent experience").

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.