Software Engineer - Fleet Orchestration

📋 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