NVIDIA is the engine behind modern agentic AI - from frontier model training and inference to accelerated data analytics, simulation, both in the cloud as well as locally at the edge. We are looking for a technical and hands-on Senior Product Manager who can turn the needs of developers, researchers, and enterprises into product requirements for personal AI systems and help define, build, and launch the next generation of GPU products for Local AI.
Generative AI is moving from the cloud to the workstation and the edge. Developers want to prototype, fine-tune, and run frontier models locally. Enterprises want to deploy agents against their private data on-prem. This Product Manager will make our Local AI platforms the best place to build and run modern AI. You will build GPU architectures, platform integration, and go-to-market strategy for some of the most fast-paced compute environments in the world. Do this sound like a challenge you are up for? If so, come show us what you've got!
What You’ll Be Doing:
- Own the full product lifecycle related to Local AI offerings —architecture definition, feature prioritization, roadmap, launch, and scale-out adoption.
- Define hardware, system, and software requirements across compute, networking, storage, and security to support agentic AI & simulation workloads.
- Translate real workloads into targets for model capacity, latency, efficiency, memory, bandwidth, power, and cost.
- Study developer workflows on Windows and Linux, including how popular models and inference frameworks run on NVIDIA platforms.
- Partner with OEMs & customers to capture requirements, validate builds, and ensure platform success in diverse deployment 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 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:
- 8+ years in product management, with meaningful time on compute products, AI/ML, developer tools, or infrastructure products.
- Strong understanding of AI accelerator architectures and the factors that affect AI inference performance.
- Proven ability to take products from concept → launch → customer adoption at scale.
- Strong product judgement with capacity to make clear tradeoffs among performance, memory capacity, power, cost, and user experience
- A strong mix of technical depth and strategic/business insight. Highly analytical. Able to balance multiple projects at the same time.
- Excellent communication skills and the ability to work cross-functionally across engineering, operations, and customer teams.
- Bachelor's Degree or equivalent experience; MBA preferred
Ways to Stand Out from the crowd:
- Hands-on experience with local AI workloads and agents.
- Familiarity with enterprise AI deployment challenges and needs.
- Demonstrated success defining & positioning hardware/software compute platforms.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- 8+ years of product management experience
- Meaningful experience with compute products, AI/ML, developer tools, or infrastructure products
- Strong understanding of AI accelerator architectures and AI inference performance factors
- Experience taking products from concept through launch and scaled customer adoption
- Strong product judgment and ability to balance performance, memory, power, cost, and user experience tradeoffs
- Technical depth and strategic or business insight
- Strong analytical and multitasking abilities
- Excellent communication and cross-functional collaboration skills
- Bachelor's degree or equivalent experience
- MBA
- Hands-on experience with local AI workloads and agents
- Familiarity with enterprise AI deployment challenges and needs
- Success defining and positioning hardware or software compute platforms
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
