Engineering Manager, AI Cloud GPU Fleet

Neura Market; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Lambda, The Superintelligence Cloud, is hiring Engineering Managers for Fleet Reliability, HPC Deployments, Fleet Foundation, and Fleet Orchestration / Automation. This role leads a distributed team responsible for deployment, operation, and reliability of production GPU infrastructure in a fast-growing AI cloud environment.

You will partner cross-functionally, shape technical direction, and mentor engineers to ship on-time with high quality while balancing short-term delivery and long-term

Qualifications

• 3+ years leading or managing engineers in AI/ML infrastructure or large-scale compute.

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 the tools, processes, and automation that teams across the organization 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.

Skills

People management

Linux proficiency

Cross-functional leadership

Project leadership

SLA management

Education

Bachelor's degree or equivalent

Job description

Lambda, The Superintelligence Cloud, is hiring Engineering Managers for Fleet Reliability, HPC Deployments, Fleet Foundation, and Fleet Orchestration / Automation. This role leads a distributed team responsible for deployment, operation, and reliability of production GPU infrastructure in a fast-growing AI cloud environment.

You will partner cross-functionally, shape technical direction, and mentor engineers to ship on-time with high quality while balancing short-term delivery and long-term