Senior Software Research Architect, AI Networking

We are in search of a Senior Software Architect- a creative, forward-thinking, and practical researcher to improve the framework for widespread LLM learning and prediction. As part of our dynamic E2E Architecture group, you will design and optimize systems driving generative AI workloads, working at the intersection of software and hardware on some of the most advanced GPU clusters worldwide. You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and compute scheduling to system-level optimization. This is an opportunity to collaborate with best-in-class engineers and researchers and shape the future of generative AI in real-world applications. Your work will make a lasting impact by enabling generative AI technologies to reach real-world applications and improve global computing capabilities.

What Youll Be Doing:

Lead research and development of end-to-end networking

דרישות:

What We Need to See:

M.Sc. or PhD (preferred) in Computer Science, Electrical/Computer Engineering, or related fieldor B.Sc. with research experience and publications.  

5+ years of relevant experience.

Deep expertise in networking and communication internals (NCCL, RDMA, congestion control, routing).

Strong software engineering skills in C++ and/or Python.

Excellent system-level design and problem-solving abilities.

Outstanding communication and collaboration skills across technical domains.  

Ways to Stand Out from the Crowd:

Proven passion for solving sophisticated technical problems and delivering impactful solutions.

Record of publications in top-tier conferences.

Experience in designing and building large-scale AI training clusters.

Post-PhD research experience

Practical understanding of deep learning systems, GPU acceleration, and AI model execution flows. המשרה מיועדת לנשים ולגברים כאחד.