Engineering Manager, Fleet Engineering
Lambda· Data Center Business
Hybrid (San Francisco Office (Fremont St)), Hybrid (San Jose Office (First St)), Hybrid (Bellevue Office)$330k - $440kFull-timePosted 2mo ago
About the role
Lambda seeks multiple Engineering Managers for Fleet Engineering teams responsible for the full lifecycle of production systems infrastructure, including deployment, operation, and reliability of the GPU fleet across HPC Deployments, Fleet Reliability, Fleet Foundation, and Fleet Orchestration / Automation.
Responsibilities
- Lead and grow a distributed team of engineers responsible for 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 tools, processes, and automation used across teams.
- Provide stakeholders with visibility into project progress, risks, and outcomes.
- Participate in qualification efforts for new technologies entering production deployments.
- Manage staff allocation, project priorities, deadlines, and deliverables to drive outcomes.
- Hold regular 1:1s, provide feedback, and support career development for team members.
- Contribute to reliability through participation in Incident Management and Review programs.
Qualifications
- 3+ years leading or managing engineers in AI/ML infrastructure or large-scale compute environments.
- Experience owning production systems with real SLAs and balancing ongoing operations with long-term improvements; ability to reduce toil and technical debt.
- Proficiency in Linux, with ability to debug across OS, hardware, and networking layers.
- Ability to lead technical design on medium-to-large efforts: problem framing, documentation, cross-team alignment, and shipping.
- Ability to work under deadlines and negotiate timeline changes when needed.
- Experience collaborating with peer engineering managers on cross-deployment and operations efforts.
- Experience building high-performing teams through hiring, upskilling, redundancy planning, performance management, and clear expectations.
- Strong problem-solving and troubleshooting instincts.
- Interest in hardware-software intersection and physical data center builds.
Skills
Required:Leadership and people managementLinux and systems debuggingTechnical design and cross-team alignment
Benefits
- 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.
Last updated Aug 27, 2026. Interested? Apply on the company site.
About Lambda
The Superintelligence Cloud
The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.
AI trainingDeep learningGPU CloudInferenceNVIDIA GPUsliquid-ai-recruiting-targetsetter-30setter-30-2026-q1
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