{"id":4320665,"url":"https://alion.io/job/lambda-software-engineer-data-center-tooling","title":"Software Engineer - Data Center Tooling","company":{"id":32991,"name":"Lambda","domain":"lambda.ai","url":"https://alion.io/company/lambda-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":6,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","San Jose, United States","Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":230000,"max":340000,"currency":"USD","period":"year","gross":null,"usd_annual":340000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"AWS","optional":true},{"name":"JavaScript","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-11-14T18:24:50Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T20:10:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nIf you'd like to build the world's best AI cloud, join us.\n*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.\nWhat You'll Do\nBuild 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\n\nDesign and implement conflict resolution and precedence logic across competing data sources (vendor manifests, on-site observation, and system-observed telemetry)\n\nBuild validation tooling that catches inventory errors before they propagate downstream\n\nDesign attestation and constraint systems that validate physical topology, cabling, rack composition, and containment, against intended logical configuration at scale\n\nLead 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\n\nPartner 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\n\nMonitor production health of capture and validation pipelines, hold SLAs, and drive resolution when physical/logical state drifts\n\nYou\nHave 5+ years of engineering experience\n\nAre fluent in Python, Go, or similar\n\nComfortable with APIs, distributed systems, and automation pipelines\n\nHave owned production systems with real SLAs\n\nCan lead technical design on medium-to-large features: take an ambiguous problem, write the doc, drive alignment, and ship\n\nHave worked cross-functionally and influenced technical decisions beyond your immediate team\n\nHave mentored peers and left systems - and teammates - better than you found them\n\nMust-Have Skills\nPython or Go fluency\n\nExperience with APIs, async workloads, job schedulers, and task queues\n\nKnowledge of React or similar JS frontend\n\nKnowledge of PostgreSQL or similar\n\nExperience deploying applications on Kubernetes\n\nExperience developing mission-critical user interfaces\n\nComfort level with data and ETL Pipelines\n\nNice to Have\nMobile app development\n\nExperience with inventory management\n\nExperience with datacenters and bare metal\n\nExperience with network source-of-truth systems or DCIM tooling\n\nExperience in the machine learning or AI infrastructure industry\n\nSalary Range Information\nThe 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.\nAbout Lambda\nFounded in 2012, with 500+ employees, and growing fast\n\nOur 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\n\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\nOur values are publicly available: https://lambda.ai/careers\n\nWe offer generous cash & equity compensation\n\nHealth, dental, and vision coverage for you and your dependents\n\nWellness and commuter stipends for select roles\n\n401k Plan with 2% company match (USA employees)\n\nFlexible paid time off plan that we all actually use\n\nEqual Opportunity Employer\nLambda is an Equal Opportunity employer. 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