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
Lambda’s Core Cloud Platform organization builds the software and services that turn large-scale GPU infrastructure into reliable, customer-facing cloud products. The team owns foundational platform capabilities across Managed Kubernetes, resource lifecycle, workload orchestration, cloud APIs, automation, observability, and multi-region operations. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Hands-on when needed: You can get into the details when the team or system needs it without becoming the long-term bottleneck
- High accountability: You take responsibility for delivery and production outcomes and do not tolerate systems remaining unreliable
- Business and customer alignment: You connect technical priorities to the outcomes that matter for Lambda and its customers
- Sound judgment: You make decisions with incomplete information, manage risk, and change direction when the evidence changes
- Systems builder: You create teams, processes, and technical foundations that operate effectively without depending on constant intervention
- Agency with context: You find responsible paths through obstacles without creating unnecessary risk or operating as a cowboy
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 San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Lambda’s Core Cloud Platform organization builds the software and services that turn large-scale GPU infrastructure into reliable, customer-facing cloud products. The team owns foundational platform capabilities across Managed Kubernetes, resource lifecycle, workload orchestration, cloud APIs, automation, observability, and multi-region operations.
The immediate focus for this role includes evolving Lambda’s Managed Kubernetes platform: making it easier and safer to provision, upgrade, operate, and scale Kubernetes clusters for demanding AI workloads. The platform integrates closely with Lambda’s underlying compute, networking,...
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