*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.
What You'll Do- 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
- Design and implement conflict resolution and precedence logic across competing data sources (vendor manifests, on-site observation, and system-observed telemetry)
- Build validation tooling that catches inventory errors before they propagate downstream
- Design attestation and constraint systems that validate physical topology, cabling, rack composition, and containment, against intended logical configuration at scale
- Lead 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
- Partner 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
- Monitor production health of capture and validation pipelines, hold SLAs, and drive resolution when physical/logical state drifts
You- Have 5+ years of engineering experience
- Are fluent in Python, Go, or similar
- Comfortable with APIs, distributed systems, and automation pipelines
- Have owned production systems with real SLAs
- Can lead technical design on medium-to-large features: take an ambiguous problem, write the doc, drive alignment, and ship
- Have worked cross-functionally and influenced technical decisions beyond your immediate team
- Have mentored peers and left 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
Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer 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 that we all actually use
