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Lambda is hiring Engineering Managers for its Fleet Engineering organization, which owns the full lifecycle of production GPU infrastructure systems. This is a multi-team hiring initiative covering Fleet Reliability, HPC Deployments, Fleet Foundation, and Fleet Orchestration roles; candidates apply once and are matched to the best-fit team based on strengths.
Fleet Engineering manages the deployment, operation, and reliability of Lambda's GPU fleet serving tens of thousands of customers. The organization spans five core functions: HPC Deployments (bare metal to production-ready capacity, firmware, burn-in, validation, InfiniBand fabric); Fleet Reliability (day-2 operations, system health, fleet uptime); Fleet Orchestration/Data (production source-of-truth systems, data synchronization, quality); Fleet Orchestration/Automation (workflow orchestration for fleet work, locking, firmware, OS installs, reporting); and Fleet Foundation (host enablement, OS provisioning, firmware management, out-of-band access, power management).
In this role, you will lead and grow a distributed team of engineers responsible for deploying and operating production infrastructure. Key responsibilities include cross-functional project delivery with stakeholder alignment, identifying efficiency opportunities in tools and processes, providing visibility into progress and risks, qualifying new production technologies, managing staff allocation and priorities, conducting 1:1s and supporting career development, and participating in incident management and review programs.
Required qualifications: 3+ years leading or managing engineers in AI/ML infrastructure or large-scale compute environments; ownership of production systems with real SLAs; confidence debugging across OS, hardware, and networking layers; ability to lead technical design on medium-to-large efforts; strong project management and deadline execution; effective collaboration with peer managers; deliberate team-building through hiring and performance management; excellent problem-solving instincts; and enthusiasm for hardware-software-datacenter intersection work.
Nice-to-have skills include Linux systems administration, TCP/IP networking, automation and scripting, bare metal provisioning (PXE, Redfish, IPMI, BMC), strong coding ability, GPU acceleration and virtualization knowledge, datacenter infrastructure familiarity, network source-of-truth tooling (NetBox), Linux distribution building, AI-assisted development tools, customer empathy, and a technical degree or equivalent.
The role requires presence in San Francisco, San Jose, or Bellevue office 4 days per week, with Tuesday designated as work-from-home day. The work carries executive visibility and direct customer impact.
