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
Cross-functional collaboration and influence on technical decisions
Mentorship experience, improving systems and teammates
Responsibilities
Build and maintain systems for accurate digital capture of datacenter hardware
Design conflict resolution logic across various data sources
Develop validation tools to catch inventory errors early
Create systems to validate physical topology against logical configurations
Lead design of scanning workflows for asset-level data
Collaborate with cross-functional teams to define data capture needs
Monitor and resolve issues in capture and validation pipelines
Benefits
Generous cash and equity compensation
Health, dental, and vision coverage for employees and dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match for USA employees
Flexible paid time off plan that is actively encouraged
Full 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.
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 Information
The 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
About Lambda
Lambda is an online education company that offers courses in computer science and software engineering. The company was founded in 2017 by Austen Allred and Ben Nelson. Lambda's courses are designed to be accessible to anyone, regardless of their background or prior experience. The company's mission is to provide high-quality education that leads to well-paying jobs in the tech industry. Lambda has partnerships with a number of companies, including Amazon, Google, and Microsoft, and has helped thousands of students launch careers in tech.
