NVIDIA seeks a seasoned, high-impact leader to build, scale, and drive the building of AI factories across key enterprise customers. This role requires a hands-on leader who can start from building the reference architecture to delivery and continuous operations of AI Factory. This person will bring new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers. As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap. You will work multi-functionally with product management and HW and SW engineering teams. You should have experience building scalable operational systems in complex, fast-paced technology environments and be comfortable working with a "mission-first" approach. This is a unique opportunity to lead the operational backbone behind NVIDIA's next wave of AI Factory scaling for enterprise customers. We seek a driven leader ready to take ownership and deliver at speed of light. What you'll be doing: - Working with NVIDIA Enterprises customers on large data center GPU server and networking system deployments as Solution Architect leader. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. - Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features. - Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams - Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions - Help team in building custom product demonstrations and POCs for solutions that address critical business needs of our customers - Hiring and building an elite team of AI Infrastructure architects. - We make extensive use of conferencing tools, but travel is required for on-site visit to customers and industry events. What we need to see: - This role is for a leader with the motivation and skills to drive the data center engineering process. Ideal candidate has 18+ overall years of Systems/Solution Engineering (or similar Engineering roles) experience, well versed with data center design and operations. Strong hands-on experience is required. - 8+ years of management experience. - Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience). - System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers - Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling) - Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes - Effective time management and capable of balancing multiple tasks - Strong verbal/written communication skills, able to share your ideas and code clearly through documents, presentations, etc - Strong operational understanding of large-scale data center infrastructure including servers, networking, power, cooling systems, and high-performance computing environments. - Hands-on leadership style — capable of both high-level program management and direct problem-solving at the operational level. - Experience managing multi-functional, multi-regional, and supplier-aligned teams with strong influence across technical and operational groups. Ways to stand out from the crowd: - Knowledge and hands-on experience with NVIDIA hardware platforms (DGX, HGX, GB200, GB300, NVLink, InfiniBand). Experience with bringup and deployment of large clusters - Experience scaling hardware operations in hyperscale, AI, or high-performance computing (HPC) environments. - External customer facing background NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking, resilient, and hardworking people in the world. If you are learner, creative and collaborative, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 368,000 USD - 557,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 22, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. 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, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.