Software Engineer - Data Center Tooling

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

Job Description:

Note: 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.

You will build and own the systems that digitally capture Lambda’s physical datacenter hardware, ensuring physical host and rack state stays accurate in our inventory source of truth. You will design and implement conflict resolution and precedence logic across competing data sources (vendor manifests, on-site observation, and system-observed telemetry). You will also build validation tooling that catches inventory errors before they propagate downstream.

Your responsibilities include:

• Designing and implementing conflict resolution and precedence logic across competing data sources
• Building validation tooling that catches inventory errors before they propagate downstream
• Designing attestation and constraint systems that validate physical topology, cabling, rack composition, and containment, against intended logical configuration at scale
• Leading the technical design of rack- and asset-level scanning workflows, including provisional-vs-verified data states, tagging/versioning of data provenance, and safe rollout of reduced-friction scanning modes
• Partnering cross-functionally with DC Operations, Engineering, and vendors to define what physical data needs to be captured, when, and by whom, and drive alignment on where automation should replace manual reconciliation
• Monitoring production health of capture and validation pipelines, holding SLAs, and driving resolution when physical/logical state drifts

Requirements:

• 5+ years of engineering experience
• Fluency in Python, Go, or similar
• Comfortable with APIs, distributed systems, and automation pipelines
• Experience owning production systems with real SLAs
• Ability to lead technical design on medium-to-large features
• Experience working cross-functionally and influencing technical decisions beyond your immediate team
• Experience mentoring peers and leaving systems , and teammates , better than you found them

Must-Have Skills:

• Python or Go fluency
• Experience with APIs, async workloads, job schedulers, and task queues
• Knowledge of React or similar JS frontend
• Knowledge of PostgreSQL or similar
• Experience deploying applications on Kubernetes
• Experience developing mission-critical user interfaces
• Comfort level with data and ETL Pipelines

Nice to Have:

• Mobile app development
• Experience with inventory management
• Experience with datacenters and bare metal
• Experience with network source-of-truth systems or DCIM tooling
• Experience in the machine learning or AI infrastructure industry

Benefits:

• Generous cash & 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