Principal LPU Technical Product Marketing Manager

NVIDIA is hiring a Principal LPU Technical Product Marketing Manager in Santa Clara, United States. It pays $224k-$357k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this marketing role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The listed pay starts 51% above the typical marketing posting on Level.
Tools and skills the posting cites include Groq.
Level lists 2,600+ other open roles at NVIDIA.
The role was posted in the last few days.

AI in this role

Groq

We are seeking an experienced Principal LPU Technical Product Marketing Manager to join our dynamic team in Santa Clara. This position provides a ground breaking chance to engage with NVIDIA’s latest advancements in AI and accelerated computing. You will concentrate on our Groq-based Language Processing Units (LPUs) and responsibilities will include crafting the future of low latency inference and highlighting NVIDIA’s leadership in this area!

What you'll be doing:

Drive NVIDIA’s LPU technical go-to-market efforts, including launches, partner performance benchmarking, and marketing activations.
Collaborate with engineering and product management groups to understand key technical capabilities of our LPUs and speed up low latency inference.
Diligently review and stay updated on silicon architectures and AI workloads.
Review technical whitepapers of AI developments and silicon trends, aligning ecosystem trends with key features of NVIDIA LPUs for promotion.
Develop clear positioning, messaging, and assets to emphasize NVIDIA’s leadership role in CPUs, including blogs, whitepapers, presentations, analyst briefings, and seminars at developer conferences.
Closely follow competitors' low latency announcements and prepare appropriate responses for business and technical/developer audiences.
Assist in building keynote slides for executives in areas where you’re a subject matter expert.

What we need to see:

Bachelor’s Degree in Engineering, Science, or a related area (or equivalent experience in a technical product marketing position). A Masters Degree is desirable.
Over 15+ years of experience in silicon development or deployment in an engineering position, followed by more than 5 years in product management, marketing, or technical product marketing related to silicon. Candidates with compute or data center silicon experience are preferred.
Deep technical understanding of modern data center architectures, accelerated computing, training, and inference.
Market Awareness – Experience conducting technical competitive analysis and synthesizing key insights.
Collaboration & Influence – Demonstrated capability to engage effectively with engineering, product management, sales, and marketing groups.
Strong Communication, Asset Creation & Storytelling – Ability to translate sophisticated technical concepts into clear, compelling narratives for both technical and business audiences.

Ways to stand out from the crowd:

Hands-on engineering experience with designing or programming AI silicon and/or servers.
Experience working with data centers or hyperscale cloud providers.
Practical Technical Expertise – Experience in software development, AI infrastructure, data center silicon.
Demonstrated capability to connect with senior leadership and external collaborators.
Published technical content or speaking experience at industry events.

Join us at NVIDIA and be part of a world-class team developing technologies that are redefining what's possible. Your expertise will help build the future of AI and accelerated computing. We are eager to see how you can make a lasting impact!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 16, 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

Principal LPU Technical Product Marketing Manager at NVIDIA rates 68 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.

Classification

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.

Key facts

Principal LPU Technical Product Marketing Manager is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $224k-$357k a year.
The role is based in US, CA, Santa Clara.
The job was posted on November 12, 2026.
Seniority: lead.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Groq

Also common in marketing jobs at this level

AI agents LLM Python SQL Machine learning Generative AI

Pay

This job starts at: $224k
Typical marketing job: $148k

This posting starts 51% above the typical marketing job. See marketing jobs

Questions you could be asked

What's a project where you used Groq hands-on?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Groq. 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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