{"schemaVersion":"jobsearcher.job.v1","id":"7be8b2e8bd9cb0b003930b45","url":"https://jobsearcher.com/jobs/7be8b2e8bd9cb0b003930b45","canonicalUrl":"https://jobsearcher.com/jobs/7be8b2e8bd9cb0b003930b45","title":"Data Center Standards Architect","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.\nNote: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\nWhat You’ll Do\nAs a Data Center Standards Architect, you will serve as a principal-level technical leader responsible for designing the standards, systems, tools, and processes that help Lambda scale its data center infrastructure. This role is ideal for someone who has led engineering teams or large technical programs and now wants to operate as a high-leverage individual contributor shaping how a fast-growing infrastructure organization works.\nYou will:\nDefine and own Lambda’s data center engineering standards for high-density AI and GPU infrastructure environments.\nCreate repeatable reference architectures, design patterns, technical specifications, and deployment standards that improve speed, quality, reliability, and consistency across data center builds.\nDevelop the engineering “operating system” for data center scale, including standards libraries, design review processes, decision records, quality gates, commissioning criteria, acceptance checklists, exception processes, and operational handoff frameworks.\nTranslate lessons learned from individual deployments into reusable mechanisms that make future deployments safer, faster, and more predictable.\nEstablish technical standards across areas such as power distribution, cooling, liquid cooling readiness, rack integration, structured cabling, fiber management, network rooms, out-of-band management, telemetry, DCIM/BMS integrations, physical security, maintainability, and operational readiness.\nLead cross-functional architecture reviews for new data center designs, expansions, retrofits, and infrastructure programs.\nIdentify organizational bottlenecks and design systems, tools, and workflows that reduce ambiguity, improve accountability, and help teams execute at scale.\nBuild governance mechanisms for standards adoption, including exception management, risk reviews, lifecycle ownership, metrics, and continuous improvement loops.\nAct as a technical advisor to senior engineering and infrastructure leadership on data center strategy, design tradeoffs, resiliency, operational risk, and scalability.\nMentor engineers and technical leaders across the organization by raising the bar for systems thinking, documentation, design rigor, and operational excellence.\nYou\nHave operated as a staff, principal, or director-level engineering leader in data center engineering, infrastructure engineering, facilities engineering, cloud infrastructure, hardware infrastructure, or a related technical domain.\nHave experience designing or scaling standards, processes, tools, or governance systems across a complex engineering organization.\nBring a strong systems-thinking mindset and are comfortable turning ambiguous, one-off problems into repeatable, scalable mechanisms.\nHave deep familiarity with data center infrastructure, including power, cooling, rack layouts, network infrastructure, cabling, commissioning, operational readiness, and lifecycle management.\nUnderstand how to balance engineering excellence with delivery velocity, cost, risk, reliability, and operational simplicity.\nAre comfortable influencing without direct authority across engineering, operations, construction, supply chain, finance, and executive stakeholders.\nCommunicate clearly through written standards, technical narratives, architecture diagrams, design reviews, and executive-level recommendations.\nHave a track record of raising the technical bar for teams through better processes, better documentation, better decision-making frameworks, and better engineering discipline.\nAre energized by building the systems that allow other engineers and operators to move faster and make better decisions.\nCare deeply about reliability, maintainability, repeatability, and operational excellence in mission-critical infrastructure environments.\nNice to Have\nExperience with AI, machine learning, GPU, HPC, or hyperscale cloud infrastructure.\nExperience with high-density compute environments, liquid cooling, advanced thermal management, or next-generation data center design.\nExperience building or operating infrastructure standards across multiple sites, regions, colocation providers, or global data center portfolios.\nFamiliarity with DCIM, BMS, EPMS, telemetry platforms, infrastructure observability, or workflow automation tools.\nExperience creating internal platforms, tooling, dashboards, or knowledge systems that help engineering organizations scale.\nExperience working with colocation providers, OEMs, ODMs, construction partners, commissioning agents, and critical facilities operations teams.\nExperience leading technical governance forums, architecture review boards, standards councils, or large-scale engineering transformation programs.\nBackground in electrical engineering, mechanical engineering, systems engineering, network engineering, infrastructure architecture, or a related field.\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\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\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\nOur values are publicly available: https://lambda.ai/careers\nWe offer generous cash & equity compensation\nHealth, dental, and vision coverage for you and your dependents\nWellness and commuter stipends for select roles\n401k Plan with 2% company match (USA employees)\nFlexible paid time off plan that we all actually use\nEqual Opportunity Employer\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.\nCompensation Range: $443K - $590K","company":"Lambda","rawCompany":"lambda","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-27T10:29:46.589Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Center Standards Architect","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.\nNote: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\nWhat You’ll Do\nAs a Data Center Standards Architect, you will serve as a principal-level technical leader responsible for designing the standards, systems, tools, and processes that help Lambda scale its data center infrastructure. This role is ideal for someone who has led engineering teams or large technical programs and now wants to operate as a high-leverage individual contributor shaping how a fast-growing infrastructure organization works.\nYou will:\nDefine and own Lambda’s data center engineering standards for high-density AI and GPU infrastructure environments.\nCreate repeatable reference architectures, design patterns, technical specifications, and deployment standards that improve speed, quality, reliability, and consistency across data center builds.\nDevelop the engineering “operating system” for data center scale, including standards libraries, design review processes, decision records, quality gates, commissioning criteria, acceptance checklists, exception processes, and operational handoff frameworks.\nTranslate lessons learned from individual deployments into reusable mechanisms that make future deployments safer, faster, and more predictable.\nEstablish technical standards across areas such as power distribution, cooling, liquid cooling readiness, rack integration, structured cabling, fiber management, network rooms, out-of-band management, telemetry, DCIM/BMS integrations, physical security, maintainability, and operational readiness.\nLead cross-functional architecture reviews for new data center designs, expansions, retrofits, and infrastructure programs.\nIdentify organizational bottlenecks and design systems, tools, and workflows that reduce ambiguity, improve accountability, and help teams execute at scale.\nBuild governance mechanisms for standards adoption, including exception management, risk reviews, lifecycle ownership, metrics, and continuous improvement loops.\nAct as a technical advisor to senior engineering and infrastructure leadership on data center strategy, design tradeoffs, resiliency, operational risk, and scalability.\nMentor engineers and technical leaders across the organization by raising the bar for systems thinking, documentation, design rigor, and operational excellence.\nYou\nHave operated as a staff, principal, or director-level engineering leader in data center engineering, infrastructure engineering, facilities engineering, cloud infrastructure, hardware infrastructure, or a related technical domain.\nHave experience designing or scaling standards, processes, tools, or governance systems across a complex engineering organization.\nBring a strong systems-thinking mindset and are comfortable turning ambiguous, one-off problems into repeatable, scalable mechanisms.\nHave deep familiarity with data center infrastructure, including power, cooling, rack layouts, network infrastructure, cabling, commissioning, operational readiness, and lifecycle management.\nUnderstand how to balance engineering excellence with delivery velocity, cost, risk, reliability, and operational simplicity.\nAre comfortable influencing without direct authority across engineering, operations, construction, supply chain, finance, and executive stakeholders.\nCommunicate clearly through written standards, technical narratives, architecture diagrams, design reviews, and executive-level recommendations.\nHave a track record of raising the technical bar for teams through better processes, better documentation, better decision-making frameworks, and better engineering discipline.\nAre energized by building the systems that allow other engineers and operators to move faster and make better decisions.\nCare deeply about reliability, maintainability, repeatability, and operational excellence in mission-critical infrastructure environments.\nNice to Have\nExperience with AI, machine learning, GPU, HPC, or hyperscale cloud infrastructure.\nExperience with high-density compute environments, liquid cooling, advanced thermal management, or next-generation data center design.\nExperience building or operating infrastructure standards across multiple sites, regions, colocation providers, or global data center portfolios.\nFamiliarity with DCIM, BMS, EPMS, telemetry platforms, infrastructure observability, or workflow automation tools.\nExperience creating internal platforms, tooling, dashboards, or knowledge systems that help engineering organizations scale.\nExperience working with colocation providers, OEMs, ODMs, construction partners, commissioning agents, and critical facilities operations teams.\nExperience leading technical governance forums, architecture review boards, standards councils, or large-scale engineering transformation programs.\nBackground in electrical engineering, mechanical engineering, systems engineering, network engineering, infrastructure architecture, or a related field.\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\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\nWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\nOur values are publicly available: https://lambda.ai/careers\nWe offer generous cash & equity compensation\nHealth, dental, and vision coverage for you and your dependents\nWellness and commuter stipends for select roles\n401k Plan with 2% company match (USA employees)\nFlexible paid time off plan that we all actually use\nEqual Opportunity Employer\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.\nCompensation Range: $443K - $590K","datePosted":"2026-07-27T10:29:46.589Z","dateModified":"2026-07-27T10:29:46.589Z","hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7be8b2e8bd9cb0b003930b45"},"url":"https://jobsearcher.com/jobs/7be8b2e8bd9cb0b003930b45"}}