Nvidia Senior Director Enterprise AI Factories Deployment 

United States, California 

707318513

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 ofserver/network/clusterdeployments. 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