Teams at NVIDIA

Designs and builds PyTorch components optimized for systems ranging from thousands to hundreds of thousands of GPUs. Collaborates with hardware and software teams to improve GPU performance, develops production AI solutions for enterprise customers, and supports internal AI research tools. The role requires deep learning expertise, C++ proficiency, systems software knowledge, distributed and parallel programming experience, and large-scale software development skills.

Develop and support NVIDIA networking technologies for AI clusters, including InfiniBand, NVLink, and Spectrum-X. Reproduce and root-cause complex customer issues down to source code, collaborate with R&D on fixes, analyze high-performance network metrics, and create diagnostic tools. The role requires extensive C and Python development in Linux and embedded systems, networking expertise, customer support experience, and strong communication skills. Occasional weekend or holiday support may be required.

Lead relationships with major research universities, advising institutional leaders, research computing teams, and principal investigators on NVIDIA technologies. Drive business growth, revenue forecasting, go-to-market strategy, platform adoption, and ecosystem enablement. Build partnerships across scientific disciplines, coordinate internal technical and product teams, communicate technology roadmaps, and develop expertise in emerging computational methods. Travel approximately 25% or more and support institutions in the Northeast or Mid-Atlantic regions.