NVIDIA
Senior CPU Technical Product Marketing Manager - Accelerated Computing
$148K–$288K
US, CA, Santa Clara · Manager · Full-time · Posted Oct 12, 2026
- Experience
- 6+ years in silicon development or deployment in an engineering role, followed by 5+ years in product management, marketing, or technical product marketing of silicon.
- Education
- BS degree in Engineering, Science, or related field (or equivalent experience in a technical product marketing role); Master’s degree preferred.
About the job
Leads technical go-to-market and product marketing for NVIDIA CPUs, translating their capabilities into positioning, launches, benchmarks, and content for AI and HPC audiences.
What you'll do
- Drive CPU launches, partner performance benchmarking, and marketing activations.
- Work with engineering and product management to communicate CPU, C2C fabric, and full-stack capabilities for HPC and AI workloads.
- Develop technical messaging and assets, track competitors, and support executive keynotes.
What they ask for
- BS degree in Engineering, Science, or a related field, or equivalent experience in a technical product marketing role.
- 6+ years in silicon development or deployment in an engineering role, followed by 5+ years in silicon product management, marketing, or technical product marketing.
- Deep technical understanding of data center architectures, accelerated computing, training, inference, HPC, and data analytics.
- Experience with technical competitive analysis and cross-functional collaboration; strong technical communication and storytelling skills.
Nice to have
- Master’s degree.
- Hands-on AI silicon or server engineering; data center or hyperscale cloud experience; software development, AI infrastructure, executive or partner engagement, or published technical content/speaking experience.
Pay
148,000 USD - 235,750 USD (base salary, Level 4); 184,000 USD - 287,500 USD (base salary, Level 5)
Tools
Vera CPUs, C2C fabric, HPC, AI
AI focus
Markets CPU capabilities for AI workloads, including training and inference; reviews AI developments and silicon trends.
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