Director, Server CPU Product Architecture

NVIDIA is hiring a Director, Server CPU Product Architecture in Santa Clara, United States. It pays $288k-$437k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classes it as an executive role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

Agentic AI is revolutionizing CPUs — and we're redesigning the data center to keep up. At NVIDIA, we build the CPU, GPU, and infrastructure as a single unit of design. Ready to help us define what comes next? Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.

What you'll be doing:

We're expanding our team and looking for a Director/Senior Director, Server CPU Product Architecture, to lead the definition of NVIDIA's next-generation server CPUs. This is a meaningful role! You will drive the product architecture of NVIDIA's server CPUs from first concept through launch, working directly with system architecture, platform architecture, and product management to define what the CPU needs to be, and driving the architectural trade-offs that determine how it performs across the entire data center.
This role works directly with customers and partners, bringing market needs and cases — including return on investment — back into engineering, and across architecture, platform, networking, software, and silicon engineering teams so every CPU decision serves the AI factory as a whole. This role leads a team of senior architects and represents the roadmap to customers and to NVIDIA's most senior technical and executive leadership.

What we need to see:

15+ years of experience in server or data center CPU/SoC architecture, having shipped multiple product generations.
7+ years of managing a team to deliver NVIDIA CPU Product strategy
A history of partnering across architecture, engineering, and product organizations, and building and scaling high-performing teams.
Experience owning products through their full lifecycle — including customer engagement, return on investment ownership, and value proposition.
A proven ability to supervise industry and technology trends and competitive dynamics, and anticipate where the market is heading.
Experience co-designing silicon requirements directly with hyperscalers or large AI labs.
BS, MS, or PhD in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.

Ways to stand out from the crowd:

Experience spanning both x86 and Arm-based server CPU architectures.
A background in accelerated computing or AI infrastructure, not just traditional server CPUs.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
288,000 USD – 437,000 USD for Level 5; and 352,000 USD – 529,000 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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

Director, Server CPU Product Architecture at NVIDIA rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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.