Job Description
📋 Description Build and own fleet data systems that make Lambda's GPU datacenter hardware legible at scale — Lead the design and implementation of automation that orchestrates GPU cluster deployments from Design systems that continuously validate consistency between intended and actual state across Design and implement ownership, global locking, readiness gating, and action safety systems that Own Fleet Orc's technical contribution to new datacenter site bring-up, working cross-functionally Monitor production health, hold SLAs, and drive resolution when things drift 🎯 Requirements Have 5+ years of engineering experience (degree not required) Are fluent in Python, Go, or similar — comfortable with APIs, distributed systems, and automation Can reason about PXE boot, firmware provisioning, IPMI/BMC interfaces, and network services like Have owned production systems with real SLAs Can lead technical design on medium-to-large features: take an ambiguous problem, write the doc Have worked cross-functionally and influenced technical decisions beyond your immediate team 🎁 Benefits Experience in the machine learning or AI infrastructure industry Familiarity with datacenter physical infrastructure — racks, switches, InfiniBand fabric, power Background that blends software engineering with systems or infrastructure engineering Experience with network source-of-truth systems (NetBox or similar) or DCIM tooling
