Fleet Orchestration Engineer for Scalable GPU Datacenters

Lambda; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health, dental, vision coverage forYOU

Wellness and commuter stipends

401k Plan with 2% company match

Flexible paid time off

Equity compensation

Job summary

Lambda, The Superintelligence Cloud, is building the world's leading AI cloud in San Francisco. Join us to own fleet data systems that make GPU datacenter hardware legible at scale and to design automation that deploys GPU clusters end-to-end.

You will lead design on medium-to-large features, cooperate with DC Ops, Network Engineering, and Core Infrastructure, and mentor peers. Requires 5+ years of engineering and strong Python/Go skills.

Qualifications

• 5+ years of engineering experience (degree not required).
• Fluent in Python, Go, or similar; comfortable with APIs and automation.
• Can reason about PXE boot, IPMI/BMC, DNS/DHCP from first principles.
• Have owned production systems with real SLAs.
• Lead technical design on medium-to-large features and ship.

Responsibilities

• Build and own fleet data systems for GPU datacenter hardware at scale.
• Design automation for GPU cluster deployments from design to hand-off.
• Ensure state consistency across large-scale GPU environments.
• Create ownership, locking, gating, and safety systems for fleet operations.
• Contribute to datacenter site bring-up with cross-functional teams.
• Monitor production health and uphold SLAs.

Skills

Python

Go

APIs

Distributed systems

Automation pipelines

Tools

NetBox

DCIM tooling

IPMI/BMC

InfiniBand

Job description

Lambda, The Superintelligence Cloud, is building the world's leading AI cloud in San Francisco. Join us to own fleet data systems that make GPU datacenter hardware legible at scale and to design automation that deploys GPU clusters end-to-end.

You will lead design on medium-to-large features, cooperate with DC Ops, Network Engineering, and Core Infrastructure, and mentor peers. Requires 5+ years of engineering and strong Python/Go skills.