Senior Product Manager – Datacenter GPU

NVIDIA•Us, CA

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people! Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world! As a Senior Product Manager - Data Center at NVIDIA, you’ll have the outstanding opportunity to build the next generation of data center technologies. Your role will be crucial in owning the entire product lifecycle for our innovative data center GPUs.

Requirements

You have a BS/MS or equivalent experience in EE, CE, CS, or a related technical field
10+ years of experience in product management or engineering
Demonstrated ability in product management, solutions architecture, or platform engineering with an emphasis on data center systems.
Detailed understanding of GPU/accelerated compute architectures and their contributions to AI, HPC, and distributed storage systems is necessary.
Experience with storage, security, networking, and high-performance computing workflows is also required.
Shown success in moving products from concept to launch and broad customer adoption is important.
Excellent interpersonal skills and cross-functional collaboration abilities are needed.
The role requires a blend of technical depth and strategic perspective.
You should be highly analytical and able to prioritize several projects simultaneously.

Nice To Haves

Possess comprehensive knowledge of AI model training/inference and secure workflows.
Experience defining GPU, servers, data center infrastructure, or disaggregated architectures (GPU/DPU/accelerators) will distinguish you.
Consistent track record in outlining hardware/software roadmaps for compute platforms is highly valued.

Responsibilities

Lead the full product lifecycle for data center GPUs—architecture definition, feature prioritization, roadmap, launch, and scale-out adoption.
Define hardware, system, and software requirements across compute, networking, storage, and security to support AI, HPC, cloud graphics and video workloads.
Partner with customers to capture requirements, validate designs, and ensure platform success in diverse data center environments.
Conduct market and competitive analysis to drive next-generation GPU, interconnect, and system strategy.
Drive alignment with engineering, architecture, operations, and supply chain teams to deliver products on time and at scale.
Build reference architectures and data center deployment models for AI training, inference, and accelerated compute workloads.
Create technical collateral (white papers, briefs, specifications, solution guides) and support customer-facing engagements.
Position NVIDIA’s accelerated compute solutions to technical and executive audiences, articulating performance, TCO, and AI workload benefits.