NVIDIAProduct Manager, Data Center GPU
NVIDIA is hiring a Product Manager, Data Center GPU in Santa Clara, United States. It pays $168k-$259k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Nvidia GPUs, Sdks and product management among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
- Posted within the past two weeks.
AI in this role
Define and showcase server and workstation GPU assets, benchmarks, and technical collateral for AI and accelerated computing workloads.
NVIDIA has become the platform upon which every new AI-powered application is built. From big challenging Generative AI applications to autonomous vehicles, or voice-recognition systems, the need for advanced perception and cognitive capabilities is exploding... and NVIDIA is right in the center of this revolution! We are now looking for a Product Manager – Data Center GPU. NVIDIA is the engine behind modern accelerated computing, powering AI, visualization, simulation, and enterprise workloads across the data center and workstation. We seek a technical, hands-on Product Manager to define and build compelling assets. These assets should show the value of NVIDIA Server and Workstation GPUs across a broad spectrum of scenarios, customers, and industries.
In this role, you will work closely with leading customers and partners from product launch through mass production, collaborating with engineering, architecture, and software teams to showcase NVIDIA technologies at their best. You will develop performance guides, white papers, blogs, tools, and reusable technical collateral, while fulfilling the role of a knowledgeable professional in competitive analysis and industry-standard benchmarks. Does this sound like a great next challenge? If so, come show us what you've got!
What you'll be doing:
- Develop and produce deliverables to showcase the value proposition of NVIDIA Server and Workstation GPU solutions spanning a wide variety of use cases
- Work hand-in-hand with our lead clients and collaborators from new product launches through mass production phases
- Create performance guide, white papers, write blogs, build tools and other reusable collaterals
- Working with our technical, build, and development groups, you will define and develop assets. These assets will showcase our technologies and solutions to a broad range of customers and vertical segments.
- Be an expert in competitive analysis and industry standard benchmarks
What we need to see:
- 8+ years of product management experience preferably in a high growth technology company
- BS/MS in Electrical Engineering, Computer Engineering, Computer Science or equivalent experience
- Real passion for hardware and system architectures
- Ideal candidates will have experience working in product management, with meaningful time on compute products, AI/ML, developer tools, or infrastructure products
- Great knowledge in CPU and GPU benchmarks and performance analysis
- Some development experience on NVIDIA GPUs and SDKs
- Good knowledge of computer architecture and GPU architecture
- Excellent communication skills and the ability to work cross-functionally across engineering, operations, and customer teams
- Passion for and working knowledge of building innovative products/technologies
Ways to stand out from the crowd:
- Advanced knowledge of GPU architecture and computer architecture
- Hands-on experience with local AI workloads and agents.
- High energy and a positive attitude
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 18, 2026.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.How we rate this
Product Manager, Data Center GPU at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $168k
- Typical AI product manager job
- $180k
This posting starts 7% below the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where competitive analysis was part of your work. What did you do?
- Tell me about a project where performance analysis was part of your work. What did you do?
- Tell me about a project where benchmarking was part of your work. What did you do?
- Walk me through how you've used Nvidia GPUs in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Product Management, Competitive Analysis, Performance Analysis, Benchmarking, and Nvidia GPUs. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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