Summary written by USA Jobs 24 from NVIDIA's advert and our data on 16,958 current US jobs. How we check every job
At a glance
NVIDIA is hiring a Senior Product Marketing Manager, AI Infrastructure in Santa Clara, CA. It is a full-time role in Data, AI & Analytics, asking for at least 12 years of experience, first listed on November 7. The description mentions Deep learning. NVIDIA has 149 other openings in the US, 127 of them in Santa Clara, CA. Across all employers on USA Jobs 24 there are 75 Data & AI openings in Santa Clara, CA today; the typical one asks for 8 years and advertises about $213,000 a year at the midpoint.
How the pay compares
NVIDIA has not published pay for this job, or we could not find it in the advert. Of the 821 data & AI jobs in California on USA Jobs 24, 74% show pay, and the typical yearly midpoint among them is $228,000. That gives you a fair starting point when the subject comes up. California has a pay transparency law that requires most employers to give a pay range for jobs there, so it is reasonable to ask the recruiter for it.
Skills in this advert
How often each skill named in this advert appears across the 1,797 data & AI jobs we list today.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on NVIDIA's Workday site on November 7 and checked it again November 7, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Santa Clara, CA. If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 12 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Deep learning, wherever they are true for you. Our resume guide shows how.
- Apply only through NVIDIA's own site. Our Apply button goes straight to NVIDIA's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at NVIDIA
NVIDIA has 150 openings on USA Jobs 24 today across 7 states. Most are in software & IT (80), data & AI (43) and hardware & chips (16). The biggest locations are Santa Clara, CA (128), Austin, TX (25) and Redmond, WA (10). 43% of them are remote, 10% are open to entry-level candidates and none shows pay. We collect NVIDIA's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is NVIDIA's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from NVIDIAHide the advert771 words
We are looking for a Senior Product Marketing Manager focused on AI infrastructure solutions — from GPUs to rack-scale systems to AI factories. Want to join a fun, creative company that is at the forefront of the AI era? NVIDIA is developing groundbreaking solutions for AI and AI infrastructure and is one of the fastest growing technology companies.
NVIDIA is the leader in AI infrastructure — from the GPUs at the heart of every AI factory, to the rack-scale systems that make them one machine, to the full AI factory designs operators build worldwide. No one else delivers the compute, the AI factory technologies, the models and applications together. All built with extreme co-design for world class performance per watt and tokens per dollar. We’re looking for someone who can position the whole stack — equally comfortable explaining a GPU’s architecture, a rack’s liquid-cooling manifold, and the productive, fungible, and durable pillars of NVIDIA GPU infrastructure.
What you’ll be doing:
- Product marketing and go-to-market launches across NVIDIA’s AI infrastructure portfolio — data center GPUs, rack-scale systems including MGX and NVL platforms, and full AI factory reference designs
- Building positioning that connects silicon to system to data center translating GPU, CPU, DPU and networking capabilities into the rack-level and factory-level outcomes customers buy
- Telling the full-stack story: how extreme co-design across compute, networking, memory, power, cooling and software produces results no single component can
- Working with NVIDIA Engineering, Sales, Creative and Product Management teams to build web content, launch materials, keynote content and marketing assets for agentic AI and high-performance computing applications
- Engaging with engineering teams to understand technical details and identify the key value propositions worth positioning
- Developing and defending performance and efficiency claims — establishing baselines, verifying figures across sources, and keeping them consistent from datasheet to press release to keynote
- Supporting press briefings, analyst engagements and executive content, including messaging documents, Q&A and FAQ for technical audiences
- Partnering with OEM, ODM, cloud and ecosystem teams on joint positioning and launch moments
- Evangelizing new approaches to marketing AI infrastructure to internal and external, technical and business audiences
- Highlighting the economics that decide AI factory investment — tokens per dollar and performance per watt at rack and factory scale
What we need to see:
- Bachelor’s or Master’s degree in engineering (or equivalent experience)
- 12+ years of relevant work experience
- Background and prior work experience in the data center marketing or AI infrastructure space required
- Working knowledge of data center infrastructure beyond the accelerator — rack architecture, power delivery, cooling, interconnect and the constraints that shape deployment
- Strong mix of technical knowledge and business intelligence, and comfort engaging marketing, engineering and product management teams
- Past success working across major internal functional areas
- Proven track record of conversing with engineering teams to extract key value propositions
- Ability to translate AI factory technical concepts and value propositions in a clear, concise and articulate fashion to a range of audiences - general press, analysts, technical press, sales, and end customers
- Demonstrated rigor with technical claims and competitive positioning
Ways to stand out from the crowd:
- Agentic AI, inference at scale, deep learning, and NVIDIA GPU experience
- Understanding of agentic workloads and what they demand of infrastructure — tool calling, orchestration, long-context inference and the CPU, memory and networking behavior around them
- Experience with rack-scale or data center infrastructure — liquid cooling, high-voltage power distribution, or open standards work such as OCP
- Experience positioning infrastructure as an investment — TCO modeling, ROI narratives, or working with customers on deployment and financing economics
- Experience building executive-level and press-facing content under launch timelines
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive product marketing teams are rapidly growing. If you’re a creative and autonomous performer with a real passion for technology, we want to hear from you.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 10, 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.USA Jobs 24 copied this listing from NVIDIA's official careers site on November 7, 2026 and checked it again November 7, 5:17 AM ET. NVIDIA will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
Something wrong with this listing? Tell us and we will look into it.
Get data & AI jobs in California by email
Similar data & AI jobs in Santa Clara, CA
Enterprise Data & AI Evangelist, Data Management
Pure Storage
You don't just explain technology. You change how organizations think about it, find where it creates value, and help make it real.
- Santa Clara, CA
- $192,000–$307,000 a year
NewStaff Machine Learning Engineer
ServiceNow
The Agent Orchestration team — the team you'll join — owns the execution core: the agent harness, orchestration runtime, multi-agent coordination, memory management, and the evaluation…
- Santa Clara, CA
- $176,100–$308,200 a year
NewNeuromorphic/AI Research Scientist
Intel
Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge platforms.
- Santa Clara, CA; Austin, TX +1
- $170,500–$315,490 a year
NewPrincipal Product Manager - AI Defense (Hyrbid)
Cisco
Own the End-to-End Roadmap: Lead the multi-year vision, strategy, and execution for a major AI Security product area from concept through production and lifecycle management.
- Milpitas, CA; San Jose, CA +3
- Hybrid
- $233,900–$330,400 a year
NewSenior Manager, Engineering - Data Center Firmware
NVIDIA
Lead a large firmware engineering organization delivering OpenBMC based firmware and MCU firmware for next-generation Data Center Compute Systems.
- Santa Clara, CA
- Remote
- 6+ yrs
New