Principal Product Manager, Hardware

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, InfiniBand 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.

Responsibilities

• 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 InfiniBand 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 apart.
• Turn Silicon Into Product: Partner with data center, supply chain, and infrastructure engineering teams to convert silicon roadmaps into reliable, sellable SKUs (stock keeping units) with clear positioning and launch plans.
• Win Adoption: Bring engineers, designers, executives, and customers along with your roadmap through clear writing, honest data, and direct conversation.
• Ship, Measure, Iterate: Launch new hardware products, define the metrics that tell you whether they are working, and iterate on configuration and positioning based on what the data says.

Requirements

• 7+ years of product management experience on technical infrastructure, hardware, systems, or platform products; senior candidates should bring 10+ years and ownership of a multi-team or multi-product roadmap.
• Turn data and customer signal into a clear decision about what to build next, and can walk through examples where you saw the what and the so what, and determined the now what.
• Have a track record of getting engineers, executives, and external partners to adopt a plan because you made them want to, not because you outranked them.
• Have shipped products that required coordinating hardware, software, and operations teams against hard external deadlines.
• Be fluent in technical conversations with hardware and systems engineers, and comfortable discussing GPU architectures, interconnects, memory, and data center constraints.
• Make hardware, capacity, or fleet investment recommendations that committed significant capital under uncertainty, and can walk through how the decision played out.
• Write documents that lead with the conclusion and the evidence, not the background.
• Able to define iterative plans that move an organization from the current state towards the desired outcome.

Qualifications

• Nice to Have: Direct experience in GPU or accelerator hardware, or systems and HPC (high-performance computing) product management; experience inside the semiconductor or original equipment manufacturer (OEM)/ODM ecosystem; direct experience working with NVIDIA or another silicon vendor on roadmap alignment; experience in cloud infrastructure capacity planning or fleet economics; hands-on familiarity with distributed training infrastructure, including InfiniBand fabrics and NCCL; experience running benchmark programs and using the results to drive buy or configure decisions.

Skills

• Fluent in technical conversations with hardware and systems engineers, and comfortable discussing GPU architectures, interconnects, memory, and data center constraints.
• Experience making hardware, capacity, or fleet investment recommendations that committed significant capital under uncertainty, and can walk through how the decision played out.
• Ability to write documents that lead with the conclusion and the evidence, not the background.
• Ability to define iterative plans that move an organization from the current state towards the desired outcome.

Benefits

Compensation Range: $338K - $438K

About Lambda: Founded in 2012, with 500+ employees, and growing fast. Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove. We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG. Our values are publicly available: https://lambda.ai/careers. We offer generous cash & equity compensation, health, dental, and vision coverage for you and your dependents, wellness and commuter stipends for select roles, a 401k Plan with 2% company match (USA employees), and a flexible paid time off plan that we all actually use. Equal Opportunity Employer: Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.