Train and scale AI on NVIDIA VR200 NVL 72, GB300 NVL 72, B300, B200, H200, H100, and and more GPUs. Launch on-demand instances or reserve a cluster. Get started.
About the role
Storage and networking are what turn graphics processing units (GPUs) into a cloud. Customers come to Lambda for compute, then decide whether to stay based on where their data lives and whether the network gets it to the GPUs fast enough to keep them busy. Found on 1752vc Careers, the job board for startup and VC roles.
More about this role
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.
Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
Storage and networking are what turn graphics processing units (GPUs) into a cloud. Customers come to Lambda for compute, then decide whether to stay based on where their data lives and whether the network gets it to the GPUs fast enough to keep them busy.
As a product manager on the Foundational Infrastructure team, you will own a meaningful part of defining where customer data lives on Lambda and how it gets to the GPUs. On storage, the domain covers where weights, checkpoints, and datasets sit, how customers get data in and keep it current, what performance they can count on when loading a model, and how capacity is metered and priced. On...
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