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
Serve as the hands-on technical lead for integrating OEM and white-label HPC AI/ML, general purpose compute, storage, and network hardware into Lambda’s HPC platform reference architectures. Drive the end-to-end process of new product introduction (NPI) for hardware systems, including system bring-up, documentation, vendor technical engagement, production readiness, and closure of hardware risks.
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 Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Hardware Engineering at Lambda is responsible for building and scaling the physical infrastructure behind the Superintelligence Cloud. Our scope spans the full hardware lifecycle: roadmap and architecture, proof-of-concept for state-of-the-art platforms, new product introduction (NPI), and fleet-scale maintenance — all engineered for gigawatt-scale AI factories with rack-first design, advanced liquid cooling, and next-generation interconnects at the cutting edge of the industry. If you want your hardware work running at the frontier of AI compute, at a scale few teams in the industry operate at, this is that team.
Serve as the hands-on technical lead for...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs