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
Design and build software to scale Lambda’s high performance multi-tenant cloud network Develop reproducible automation and tooling for network configuration and deployments 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 San Francisco, San Jose or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
We are looking for an experienced Software Engineer to help design and build the next generation of our network platform. In this role, you will develop the systems, services, and automation that power our software-defined network across data centers and cloud environments. You will work deeply within the Linux networking stack, build SDN integrations, and create the tools and services that make our network...
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