Senior Product Manager - Local AI GPU Platforms

NVIDIA; Santa Clara (CA); On-site; USD 168,000 - 328,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara seeks a Senior Product Manager to own the Local AI offerings—from architecture through launch and scale. You will translate workloads into capacity, latency, cost targets, and work across Windows and Linux workflows to optimize NVIDIA platforms.

Partner with OEMs and customers to capture requirements, drive roadmap, and align engineering, operations, and supply chain to deliver on time. Equity and comprehensive benefits accompany this role.

Qualifications

• 8+ years in product management with compute/AI/infrastructure focus.
• Strong understanding of AI accelerator architectures and inference performance.
• Proven ability to take products from concept to launch and adoption.
• Excellent cross-functional communication and strategic judgement.

Responsibilities

• Own the full product lifecycle for Local AI offerings – architecture, roadmap, launches, scale.
• Define hardware, system, and software requirements for compute, networking, storage, and security.
• Translate workloads into targets for model capacity, latency, efficiency, memory, bandwidth, power, and cost.
• Study Windows and Linux developer workflows and model/inference frameworks on NVIDIA platforms.
• Partner with OEMs and customers to capture requirements and validate builds.
• Conduct market analysis to drive GPU, interconnect, and system strategy.
• Coordinate with engineering, operations, and supply chain to deliver on time and at scale.
• Create technical collateral and support customer-facing engagements.

Skills

AI/ML knowledge

Product management

Cross-functional collaboration

Developer tools

Data-driven decisions

Communication skills

Education

Bachelor's Degree or equivalent

MBA preferred

Tools

Windows

Linux

NVIDIA platforms

Job description

NVIDIA in Santa Clara seeks a Senior Product Manager to own the Local AI offerings—from architecture through launch and scale. You will translate workloads into capacity, latency, cost targets, and work across Windows and Linux workflows to optimize NVIDIA platforms.

Partner with OEMs and customers to capture requirements, drive roadmap, and align engineering, operations, and supply chain to deliver on time. Equity and comprehensive benefits accompany this role.