1 day ago
Base Salary
$230k - $340k/yr
Responsibilities
- Build and own systems that digitally capture physical data center hardware and maintain accurate host and rack inventory state.
- Design conflict-resolution and precedence logic across vendor manifests, on-site observations, and system telemetry.
- Build validation, attestation, and constraint tooling for inventory, physical topology, cabling, rack composition, and containment.
- Lead the design of rack- and asset-level scanning workflows, including provisional and verified states and data provenance tracking.
- Partner with Data Center Operations, Engineering, and vendors to define physical data capture requirements and replace manual reconciliation with automation.
- Monitor production capture and validation pipelines, maintain SLAs, and resolve physical/logical state drift.
- Lead technical design, drive alignment, ship medium-to-large features, and mentor peers.
Requirements
- 5+ years of engineering experience.
- Fluency in Python, Go, or a similar language.
- Experience with APIs, distributed systems, automation pipelines, asynchronous workloads, job schedulers, and task queues.
- Experience owning production systems with real SLAs.
- Knowledge of React or a similar JavaScript frontend and PostgreSQL or a similar database.
- Experience deploying applications on Kubernetes and developing mission-critical user interfaces.
- Comfort with data and ETL pipelines.
- Ability to lead technical design, influence cross-functional technical decisions, and mentor peers.
Benefits
- The position requires working from the San Francisco, San Jose, or Bellevue office four days per week; the designated work-from-home day is Tuesday.
- Generous cash and equity compensation is offered, with no specific amount stated.
- Health, dental, and vision coverage are provided for employees and dependents.
- Wellness and commuter stipends are available for select roles.
- 401(k) plan with a 2% company match for USA employees.
- Flexible paid time off plan.
Categories
BackendData Engineering
About Lambda
Lambda provides GPU cloud computing and on-prem AI hardware—servers, clusters, and workstations—for teams training and serving large ML models. Its products include NVIDIA H100/A100 instances, managed clusters, and the Lambda Stack software, sold via usage-based cloud pricing and hardware sales. Founded in 2012 and headquartered in San Francisco, the privately held company serves researchers, startups, enterprises, and hyperscalers.