Engineering Manager, Fleet Engineering

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers, including AI researchers, enterprises, and hyperscalers. Our mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.

This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday.

About The Role

Fleet Engineering owns the full lifecycle of Lambda's production systems infrastructure—new product introduction, deployment, operation, and reliability of our GPU fleet. We enable the building and running of that infrastructure with speed, ease, and quality. The Fleet Engineering teams include:

• HPC Deployments – Turns bare metal into production-ready capacity: ensures firmware leveling, system burn-in to shake out early failures, and validation of server performance and correctness, through to the InfiniBand fabric and GPU clusters.
• Fleet Reliability – Day-2 operations across the fleet. Keeps systems healthy and maximizes fleet uptime and useful life.
• Fleet Orchestration / Data – Owns our production source-of-truth system. Synchronizes data from upstream systems and maintains correctness and quality, as everything automated downstream depends on it.
• Fleet Orchestration / Automation – Owns the workflow orchestration system used to safely work on fleet systems, including locking hosts, running firmware leveling jobs, OS installs, burn-in and validation, and reporting on work in flight.
• Fleet Foundation – Builds host enablement tooling systems: OS and ZTP switch provisioning, firmware management, out-of-band access, and power management.

The work is highly cross-functional, carries executive visibility, and directly impacts Lambda and our customers. Fleet Engineering is at the forefront of delivering on-time, high-quality GPU capacity while driving efficiency at scale. We are hiring multiple Engineering Managers for the following teams: Fleet Reliability, HPC Deployments, Fleet Foundation, and Fleet Orchestration / Automation. This is a single application for all of them—you apply once, and we match you to the team where your strengths land best.

Responsibilities

• Lead and grow a distributed team of top-talent engineers responsible for the deployment and operation of production systems infrastructure.
• Work cross-functionally to deliver projects and deployments on time, ensuring alignment across stakeholders.
• Identify opportunities for efficiency gains in the tools, processes, and automation that teams rely on day-to-day.
• Give stakeholders clear visibility into project progress, risks, and outcomes.
• Participate in qualification efforts for new technologies entering our production deployments.
• Drive outcomes by managing staff allocation, project priorities, deadlines, and deliverables.
• Hold regular 1:1s, give constructive feedback, and support career development for your team.
• Contribute to reliability through participation in our Incident Management and Review programs.

Requirements

• 3+ years leading or managing engineers, in AI/ML infrastructure or another large-scale compute environment.
• Experience owning production systems with real SLAs, balancing operational stability with long-term, high-impact work—paying down toil and technical debt.
• Confidence working in Linux and debugging across OS, hardware, and networking layers.
• Ability to lead technical design on medium-to-large efforts: take an ambiguous problem, write the doc, drive alignment across teams, and ship.
• Work well under deadlines and structured project plans, and can tactfully negotiate changes to timelines when needed.
• Collaborate effectively with peer engineering managers on cross-cutting deployment and operations efforts.
• Build high-performing teams deliberately—through hiring, upskilling, planned skills redundancy, performance management, and clear expectations.
• Excellent problem-solving and troubleshooting instincts.
• Excitement about working at the intersection of hardware, software, and physical datacenter builds.
• Commitment to leaving systems and teammates better than you found them.

Nice to Have

Depth in any one of these areas is a strong signal and helps us place you on the right team. Nobody has all of them.

• Linux systems administration, TCP/IP networking, automation, and scripting.
• Bare metal provisioning and lifecycle management—PXE, Redfish, IPMI, BMC, DHCP, DNS.
• Strong coding ability in at least one language, plus comfort with APIs, distributed systems, and automation pipelines.
• Experience with GPU acceleration, virtualization, and cloud computing technologies.
• Knowledge of datacenter physical infrastructure: racks, switches, InfiniBand fabric, power domains.
• Experience with network source-of-truth or DCIM tooling (NetBox or similar), and data quality practice at scale.
• Building Linux distributions or managing OS customization and imaging.
• Incorporating AI-assisted development tools into engineering workflows—code generation, debugging, test development, documentation.
• Customer awareness, empathy, and diplomacy.
• Bachelor's degree or equivalent experience in a technical field.

Benefits

• Generous cash and equity compensation.
• Health, dental, and vision coverage for you and your dependents.
• Wellness and commuter stipends for select roles.
• 401k Plan with 2% company match (USA employees).
• Flexible paid time off plan that we all actually use.

Pay

Compensation range: $297K - $440K per year.