Technical Product Manager - CPU Hardware Program

NVIDIA•Santa Clara, CA

1d•$168,000 - $327,750

About The Position

NVIDIA’s Data Center CPU Product Management team is developing silicon and platforms for next-generation AI and data center infrastructure. The Technical Program Manager, CPU Hardware Programs leads progress across complex CPU silicon and platform projects, working closely with the CPU Hardware Lead. The role connects technical priorities and trade-offs to actionable plans across architecture, silicon, platform, firmware, validation, performance, operations, and product teams. It clarifies dependencies, turns decisions and commitments into action, and establishes program mechanisms that coordinate teams from development through customer readiness. This is a highly visible technical program leadership position involving close work on complex hardware programs and influence across engineering, product, operations, and customer-facing teams. The position drives coordinated progress, tracks achievements, dependencies, risks, decisions, owners, and readiness criteria, and translates engineering inputs into program plans and communications. It also coordinates responses to hardware and platform questions from customers, partners, sales, and executives, and improves program efficiency through source-of-truth management, dashboards, automation, and other operating mechanisms. The base salary range is $168,000–$258,750 for Level 4 and $208,000–$327,750 for Level 5, depending on location, experience, and pay of employees in similar positions. The role is also eligible for equity and benefits. Applications will be accepted at least until October 19, 2026. This posting is for an existing vacancy.

Requirements

8+ years of proven experience in technical program management, systems engineering, hardware program management, or a comparable role leading complex hardware and software products.
BS or MS degree in Computer Science, Electrical Engineering, Computer Engineering, or a related area, or equivalent experience.
Working knowledge of server or silicon development, including dependencies across CPU, memory, I/O, firmware, board, system, validation, and manufacturing.
Proven experience building and driving coordinated technical programs across architecture, engineering, validation, operations, product, and customer-facing teams.
Ability to understand complex gaps in evidence, dependencies, assumptions, and implementation plans.
Strong technical and executive communication skills, including experience developing requirements, decision documents, risk assessments, program updates, and customer-facing responses.
Excellent judgment, organization, and follow-through in ambiguous, fast-paced environments with multiple senior collaborators.

Nice To Haves

Experience delivering server CPUs, accelerated computing platforms, rack-scale systems, or complex silicon programs.
Experience with silicon bring-up, platform qualification, OEM/ODM execution, firmware, validation, or production readiness.
A track record of building program mechanisms or artifacts that measurably improved decision speed, schedule predictability, or issue resolution.
Experience handling customer commitments and technical readiness for pre-production hardware.
Knowledge of CPU-driven platforms and data center client needs.

Responsibilities

Drive coordinated progress across CPU silicon and platform programs, tracking achievements, dependencies, risks, decisions, owners, and readiness criteria.
Collaborate with architecture, silicon, platform, firmware, validation, performance, operations, and product teams to identify dependencies and advance essential work.
Identify schedule, scope, quality, and readiness risks; outline technical trade-offs and bring appropriate collaborators together to make timely decisions.
Translate engineering inputs into concise, technically accurate program plans, requirements, decision records, risk assessments, and executive updates.
Coordinate responses to hardware and platform questions from customers, partners, sales, and executives, ensuring commitments align with product requirements, technical evidence, and program capacity.
Maintain traceability across customer commitments, product requirements, program decisions, and delivery owners as schedules and configurations evolve.
Improve program efficiency through source-of-truth management, dashboards, lightweight automation, and operating mechanisms that reduce manual coordination and accelerate decision-making.