Software Engineer - Fleet Orchestration

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 or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You'll Do

Build and own fleet data systems that make Lambda's GPU datacenter hardware legible at scale — indexing, validating, and reconciling physical host state against intended logical configuration Lead the design and implementation of automation that orchestrates GPU cluster deployments from logical design import and racking through OS provisioning, validation, and customer hand-off Design systems that continuously validate consistency between intended and actual state across large-scale GPU environments, catching drift before it causes deployment failures or delays Design and implement ownership, global locking, readiness gating, and action safety systems that keep fleet operations coordinated across teams and tools Own Fleet Orc's technical contribution to new datacenter site bring-up, working cross-functionally with HPC Deployments, DC Ops, Network Engineering, and Core Infrastructure Monitor production health, hold SLAs, and drive resolution when things drift You Have 5+ years of engineering experience (degree not required) Are fluent in Python, Go, or similar — comfortable with APIs, distributed systems, and automation pipelines Can reason about PXE boot, firmware provisioning, IPMI/BMC interfaces, and network services like DNS and DHCP from first principles Have owned production systems with real SLAs Can lead technical design on medium-to-large features: take an ambiguous problem, write the doc, drive alignmen