Technical Product Manager, CPU Platform Ecosystem

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Own the CPU platform ecosystem by defining supported components, qualification roadmaps, vendor lists, certification criteria, and launch readiness. Lead compatibility and enablement for GPUs, networking, storage, DPUs, firmware, software, and third-party devices. Coordinate cross-functional engineering and partner teams to resolve dependencies, manage risks, produce qualification evidence, and deliver deployable, supported server platforms to customers.
Summary Generated by Built In

At NVIDIA, we're shaping the future of accelerated computing infrastructure — and we believe a CPU platform is only as strong as the ecosystem around it. This role sits at the heart of that ecosystem, bringing clarity to what must work, what is qualified, and what customers can count on when deploying NVIDIA data center CPUs alongside GPUs, networking, storage, DPUs, and third-party components. We're looking for someone who wants to lead a tangible product outcome: customers who can configure, deploy, and operate a fully supported platform with confidence!


The work is hands-on and technically grounded, spanning NVIDIA devices, third-party components, firmware, software stacks, and industry standards such as Arm ServerReady. We offer clear ownership, strong executive visibility, and the opportunity to build something that lasts — not just handle a checklist. If you're ready to make a real impact at the intersection of hardware, software, and ecosystem strategy, we'd love to hear from you!


What you'll be doing:

  • Defining the required platform ecosystem by product, customer use case, and launch phase. This includes specifying what is supported, qualified, planned, or out of scope. It also involves maintaining the qualification roadmap and approved-vendor list accordingly.
  • Heading enablement and qualification activities for NVIDIA GPUs on PCIe and a wide range of third-party devices: networking, storage, DPUs, accelerators, management controllers, and security components.
  • Drive cross-component dependencies involving BIOS/UEFI, BMC, firmware, drivers, operating systems, telemetry, and manageability — collaborating with component owners to address interoperability, performance, and lifecycle gaps.
  • Leading readiness against platform and ecosystem standards, including Arm ServerReady, with defined test coverage, entry/exit criteria, certification evidence, and reproducible qualification matrices.
  • Running ecosystem-readiness reviews passionate about gaps, exceptions, and decisions — not status collection — and producing concise launch-readiness and executive views of coverage and residual risk.
  • Coordinating execution across CPU platform, firmware, validation, GPU, networking, DPU, storage, OEM/ODM, component-vendor, and customer teams: owners, achievements, dependencies, and blocking issue paths for every committed ecosystem item.

What we need to see:

  • 6+ years in technical product management, platform engineering, systems engineering, validation, product management, or ecosystem enablement.
  • BS or MS in Computer Science, Electrical Engineering, Computer Engineering, or a related field — or equivalent experience.
  • Proven experience delivering server, silicon, embedded, or other complex hardware/software platforms to customers or production.
  • Experience with PCIe devices and server-platform dependencies including BIOS/UEFI, BMC, firmware, drivers, operating systems, and manageability.
  • Experience running component qualification, compatibility matrices, approved-vendor lists, certification programs, or release-readiness processes.
  • Proven track record to drive closure across many engineering and partner organizations without direct authority.
  • Technical presentation skills and disciplined management of configurations, evidence, issues, and risk.

Ways to stand out from the crowd:

  • Experience qualifying GPUs, accelerators, NICs, storage, DPUs, or other PCIe devices on server platforms.
  • Familiarity with Arm ServerReady, server firmware standards, Linux enablement, or platform certification programs.
  • Direct experience working with OEMs, ODMs, component vendors, or strategic data-center customers.
  • Evidence of building a qualification or ecosystem-readiness system that measurably reduced deployment risk or accelerated customer adoption.
  • Experience working with data center CPUs, accelerated-computing platforms, or deploying production servers.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 19, 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.

Skills Required

  • 6+ years of experience in technical product management, platform engineering, systems engineering, validation, product management, or ecosystem enablement
  • BS or MS degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent experience
  • Experience delivering server, silicon, embedded, or other complex hardware/software platforms to customers or production
  • Experience with PCIe devices and server-platform dependencies, including BIOS/UEFI, BMC, firmware, drivers, operating systems, and manageability
  • Experience running component qualification, compatibility matrices, approved-vendor lists, certification programs, or release-readiness processes
  • Proven ability to drive closure across multiple engineering and partner organizations without direct authority
  • Technical presentation skills and disciplined management of configurations, evidence, issues, and risk
  • Experience qualifying GPUs, accelerators, NICs, storage, DPUs, or other PCIe devices on server platforms
  • Familiarity with Arm ServerReady, server firmware standards, Linux enablement, or platform certification programs
  • Experience working with OEMs, ODMs, component vendors, or strategic data-center customers
  • Experience building a qualification or ecosystem-readiness system that reduced deployment risk or accelerated customer adoption
  • Experience with data center CPUs, accelerated-computing platforms, or production server deployment

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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