Manager, Solutions Architecture - Emerging AI labs

NVIDIA is looking for a hands-on Solutions Architect Manager to lead a team of GPU, networking & software solution architects and engineers. As part of the NVIDIA SA organization, you will drive people and technical leadership for end-to-end solutions deployments at some of NVIDIA's most strategic AI-native customers and emerging AI labs, while directly contributing to solution design and deep-dive debugging and product roadmap shaping through customer feedback.What you will be doing:Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments for emerging AI labs. Personally lead and guide complex compute and network configuration and performance debugging, working side-by-side with your team to deliver performant, reliable clusters.Guide your team as they lead compute, network, and software architecture discussions, and support server, network, and cluster bring-up, including on-site data center work where needed.Systematically collect and synthesize customer-specific requirements across your portfolio. Demonstrated success working with Product Management, Sales, and Engineering.Strong time management skills and ability to balance planning with hands-on support where needed.Excellent written and verbal communication, including the ability to lead customer meetings, communicate status and risks, and produce clear design docs, debug summaries, and presentations.Direct people management & recruiting experience for geographically distributed technical teams.Ways to stand out from the crowd:Track record leading bring-up and deployment of large clusters or supercomputing environments.Background working with fast-moving AI labs or frontier-model infrastructure deployments and customer-facing roles (field engineering, or pre/post-sales architecture).Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel, and drivers.Hands-on experience with NVIDIA GPU systems and SDKs (e.g., CUDA), NVIDIA networking technologies (NICs, RoCE, Infini Band), and/or ARM-based CPU solutions.Familiarity with virtualization and cloud-native networking concepts.We make extensive use of conferencing tools, but occasional travel (up to 20%) is required for on-site customer visits and industry events. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender,…

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