Senior Solutions Architect, AI Infrastructure, Senior Solutions Architect, AI Infrastructure

Senior Solutions Architect, AI Infrastructure Join to apply for the Senior Solutions Architect, AI Infrastructure role at NVIDIA NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. You will help bring new Artificial Intelligence hardware and software technologies to production in customer data centers, driving deployment of end‑to‑end technology solutions at some of NVIDIA’s most strategic technology customers and advising engineering and business teams on our product roadmap. What You Will Be Doing Work with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments, guiding discussion on network design, compute/storage and the bring‑up of server/network/cluster deployments; on‑site customer visits during the bring‑up phase. Act as a trusted technical advisor to NVIDIA’s strategic customers, demonstrating subject‑matter expertise in advanced GPU and network systems and capturing customer‑specific requirements for the product roadmap. Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications, working closely with GPU/Network Systems Engineering, Product Management and Sales teams. Conduct regular technical customer meetings to discuss product roadmap, debug cluster issues, explore features and introduce new technology solutions. Build custom product demonstrations and POCs that address critical business needs of our customers. Analyze and debug compute/network configuration and performance issues to deliver high‑performance clusters. What We Need To See BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent experience. 8+ years of Systems/Solution Engineering experience with strong motivation to drive data‑center engineering processes. System‑level expertise in CPU/GPU server architecture, NICs, Linux, system software and kernel drivers. Experience with networking switches for Ethernet/Infiniband and Data Center infrastructure (power and cooling). Knowledge of DevOps/MLOps technologies such as Docker/containers and Kubernetes. Strong verbal and written communication skills, and the ability to articulate ideas through documents and presentations. Effective time management and the ability to balance multiple tasks. Ways To Stand Out From The Crowd External customer‑facing background. Experience with bring‑up and deployment of large clusters. Systems engineering, coding, and debugging skills, including experience with C/C++, Linux kernel, and drivers. Hands‑on experience with NVIDIA GPU systems/SDKs (e.g. CUDA) and NVIDIA networking technologies (e.g. NICs, RoCE, InfiniBand) and/or ARM CPU solutions. Familiarity with virtualization technology concepts. Occasional on‑site customer visits (20% travel) may be required. Remote work is possible and we welcome diverse talent. Salary range: $184,000 – $287,500 (Level 4) or $224,000 – $356,500 (Level 5). Equities and benefits are also offered. Applications for this job will be accepted until December 23, 2025. NVIDIA is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other protected characteristic. #J-18808-Ljbffr NVIDIA