Hiring: Principal Product Manager - Hardware Company: Lambda Location: San Francisco, CA Job Posted Time: 2026-09-03 03:05:30 Target Skills & Keywords : Lambda, Machine Learning, Make, Move, Node.js About the job Experience: •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 Required Skills: •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. •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. •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. Qualifications: •Have direct experience in GPU or accelerator hardware, or systems and HPC (high-performance computing) product management •Have worked inside the semiconductor or original equipment manufacturer (OEM)/ODM ecosystem, or directly with NVIDIA or another silicon vendor on roadmap alignment •Have owned cloud infrastructure capacity planning or fleet economics •Have hands-on familiarity with distributed training infrastructure, including InfiniBand fabrics and NCCL •Have run benchmark programs and used the results to drive buy or configure decisions •The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. •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 Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!