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Principal Product Manager, Hardware

Remote / Online - Candidates ideally in
Bellevue, King County, Washington, 98009, USA
Listing for: Front Door Defense
Full Time, Remote/Work from Home position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Systems Engineer, Hardware Engineer
Salary/Wage Range or Industry Benchmark: 338000 - 438000 USD Yearly USD 338000.00 438000.00 YEAR
Job Description & How to Apply Below

Principal Product Manager, Hardware Own the GPU hardware roadmap and drive platform introductions from concept to launch

Location:

Bellevue, Washington, United States

Compensation: $338, USD / year

Job Tags:
Product

About

The Role Product Manager, Hardware Roadmap

Lambda, the superintelligence cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

This position requires presence in our Bellevue or San Francisco office location four days per week;
Lambda's designated work from home day is currently Tuesday.

About the Role

Lambda's hardware is the product. Every training run, fine-tune, and inference workload our customers launch runs on hardware someone at Lambda decided to buy, configure, and ship as a product. This role owns that decision. You'll manage the GPU (graphics processing unit) fleet lifecycle as a product: new NVIDIA platform introductions such as the B200 and H200 class and the generations that follow, node and cluster configurations, Infini Band fabric options, and the roadmap for what hardware Lambda offers, when, and at what configuration.

You'll sit at the layer where Lambda meets silicon. Externally, you'll work directly with NVIDIA and with ODM (original design manufacturer) partners on roadmap alignment. Internally, you'll work with our data center, supply chain, and infrastructure engineering teams to turn silicon roadmaps into sellable, reliable products:
On-Demand GPU Instances, 1-Click Clusters, and our largest multi-node reserved deployments. You'll translate customer demand signals and benchmark data into fleet investment recommendations that shape where Lambda puts its capital.

Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn't mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it;

you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn't matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence.

Deep background in GPU hardware, systems, or the semiconductor ecosystem are also desired.

We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.

What You’ll Do
  • Own the Hardware

    Roadmap:

    Define what GPU platforms Lambda offers, when, and at what configuration, from today's B200 and H200 class systems through next-generation NVIDIA platforms.

  • Drive New Platform Introductions:
    Lead new NVIDIA platform introductions end to end, from early roadmap alignment through general availability as On-Demand GPU Instances and 1-Click Clusters.

  • Translate Demand Into Investment:
    Turn customer demand signals and benchmark data into fleet investment recommendations, and defend those recommendations with executives and finance.

  • Define Node and Cluster Configurations:
    Specify node configurations and Infini Band fabric options for clusters from 64 to 1,024+ GPUs, working with infrastructure engineering to keep NCCL (NVIDIA Collective Communications Library) and MPI (Message Passing Interface) pre-configured and performant out of the box. This role owns defining this performance standard.

  • Align Partner Roadmaps:
    Work directly with NVIDIA and ODM partners so Lambda's product plans and our partners' silicon and systems roadmaps land together, not months…

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