NVIDIA · 8 hours ago
Senior Product Manager – Datacenter GPU
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$168K/yr - $328K/yr
10+ years expNVIDIA is a leading company in computer graphics and accelerated computing, seeking a Senior Product Manager for their Data Center division. This role involves managing the entire product lifecycle for data center GPUs, focusing on architecture definition, feature prioritization, and ensuring platform success in diverse environments.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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
Qualification
Required
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
Preferred
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
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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