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.

What You’ll Be Doing:

• 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.

What We Need to See:

• 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.

Ways to stand out from the crowd:

• 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.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.Applications for this job will be accepted at least until November 28, 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.