We are looking for a CPU Technical Product Marketing Manager. This role will be located in our rapidly growing data center business and pivotal in our CPU marketing. You will be focused on working deeply with the product and engineering teams to understand the technical capabilities of our Vera and next generation CPUs. You will help showcase our CPU leadership position in AI and HPC.
Want to join a fun, creative company that is at the forefront of outstanding Generative AI technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting areas including artificial intelligence and high performance computing. Come grow your career to new heights at one of the fastest growing technology companies!
What You’ll Be Doing:
- Drive NVIDIA’s CPU technical go-to-market efforts, including launches, partner performance benchmarking, and marketing activations
- Work closely with engineering and product management teams to understand key technical capabilities of our CPUs, C2C fabric and full stack to accelerate HPC and AI workloads
- Diligently review and remain up to date on silicon architectures, HPC and AI workloads
- Review technical whitepapers of AI developments and silicon trends and align ecosystem trends with key features of NVIDIA CPUs for promotion
- Develop crisp clear positioning, messaging and assets to highlight NVIDIA’s leadership position on CPUs. Assets (blogs, whitepapers, presentations, analyst briefings, seminars at developer conferences)
- Closely follow competitive CPU announcements and prepare appropriate responses for business and technical/developer audiences
- Assist on building keynote slides for executives for areas that you’re a subject matter expert
What We Need to See:
- BS Degree in Engineering, Science or related field (or equivalent experience in a technical product marketing role). Masters Degree preferred.
- 6+ overall years of experience in silicon development or deployment in an engineering role followed by 5+ years of experience in product management, marketing, or technical product marketing of silicon. Ideal candidates will have compute or data center silicon experience
- Deep technical understanding of modern data center architectures, accelerated computing, training, inference, HPC and data analytics
- Market Awareness – Experience conducting technical competitive analysis and synthesizing key insights
- Collaboration & Influence – Proven ability to work cross-functionally across engineering, product management, sales, and marketing teams
- 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
- Hands-on Technical Competence – Background in software development, AI infrastructure, data center silicon
- Demonstrated ability to engage with executive leadership and external partners
- Published technical content or speaking experience at industry events
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
- Bachelor’s degree in engineering, science, or a related field, or equivalent experience in a technical product marketing role
- 6+ years of experience in silicon development or deployment in an engineering role
- 5+ years of experience in product management, marketing, or technical product marketing for silicon
- Experience with compute or data center silicon
- Deep technical understanding of modern data center architectures, accelerated computing, AI training, inference, HPC, and data analytics
- Experience conducting technical competitive analysis and synthesizing insights
- Ability to collaborate and influence across engineering, product management, sales, and marketing teams
- Strong communication, technical asset creation, and storytelling skills for technical and business audiences
- Master’s degree
- Hands-on engineering experience designing or programming AI silicon or servers
- Experience with data centers or hyperscale cloud providers
- Background in software development, AI infrastructure, or data center silicon
- Experience engaging executive leadership and external partners
- Published technical content or industry event speaking experience
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.”
