Level

NVIDIA

Technical Product Manager, CPU Platform Ecosystem

NVIDIA is hiring a Technical Product Manager, CPU Platform Ecosystem in Santa Clara, United States. It pays $148k-$236k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Arm Serverready, Pcie and Uefi.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.
  • The role was posted within the past two weeks.

AI in this role

Technical Product Manager for CPU platform ecosystem at NVIDIA, defining requirements and driving cross-component readiness.

arm-serverreadypcieuefibmc
product-managementsystems-engineeringfirmwareecosystem-strategy

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.

How we rate this

Technical Product Manager, CPU Platform Ecosystem at NVIDIA rates 0 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementSystems EngineeringFirmwareEcosystem StrategyArm ServerreadyPcieUefiBmc

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where systems engineering was part of your work. What did you do?
  3. Tell me about a project where firmware was part of your work. What did you do?
  4. Tell me about a project where ecosystem strategy was part of your work. What did you do?
  5. Walk me through how you've used Arm Serverready in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Product Management, Systems Engineering, Firmware, Ecosystem Strategy, and Arm Serverready. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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