{"schemaVersion":"jobsearcher.job.v1","id":"4ee63f7232d996d8fe77f3f4","url":"https://jobsearcher.com/jobs/4ee63f7232d996d8fe77f3f4","canonicalUrl":"https://jobsearcher.com/jobs/4ee63f7232d996d8fe77f3f4","title":"Staff Mechanical Engineer","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.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWhat You’ll Do\n\nOwn mechanical design standards and reference architectures for large-scale AI data centers.\n\nDevelop cooling architectures for greenfield, retrofit, and partner-operated facilities.\n\nDesign central plants, heat-rejection systems, hydronic distribution, air-cooling systems, and direct-to-chip liquid-cooling infrastructure.\n\nPerform cooling-load, heat-transfer, hydraulic, pressure-drop, psychrometric, and equipment-capacity calculations.\n\nDevelop and review P&IDs, equipment schedules, layouts, specifications, sequences of operation, and basis-of-design documents.\n\nSelect and size chillers, cooling towers, dry coolers, pumps, heat exchangers, CRAHs, CDUs, piping, valves, and water-treatment systems.\n\nEvaluate designs for capacity, redundancy, failure isolation, maintainability, efficiency, water use, constructability, cost, and schedule.\n\nTranslate GPU, rack, and cluster thermal requirements into facility cooling requirements.\n\nReview partner designs, vendor submittals, construction documents, and equipment packages for compliance with Lambda standards.\n\nCoordinate mechanical interfaces with electrical systems, controls, building structure, hardware engineering, construction, commissioning, and operations.\n\nSupport equipment selection, long-lead procurement, factory testing, construction sequencing, commissioning, and system bring-up.\n\nInvestigate cooling failures and operational risks, driving lessons back into future designs.\n\nTravel to project sites, manufacturers, and partner facilities as needed.\n\nYou\n\nHave experience designing mechanical systems for data centers, mission-critical facilities, central plants, or large industrial environments.\n\nUnderstand hydronic systems, heat transfer, chilled-water systems, heat rejection, pumping, filtration, and water treatment.\n\nCan develop and review P&IDs, mechanical layouts, equipment schedules, technical specifications, and engineering calculations.\n\nUnderstand mechanical redundancy, failure domains, maintainability, and operational requirements.\n\nCan evaluate system performance across changing weather conditions and compute loads.\n\nUnderstand applicable mechanical, plumbing, energy, and safety codes and standards.\n\nCan balance cooling performance, efficiency, water consumption, reliability, cost, and delivery schedule.\n\nCommunicate clearly across engineering, construction, operations, vendors, and executive stakeholders.\n\nHold a bachelor’s degree in mechanical engineering or equivalent practical experience.\n\nNice to Have\n\nExperience designing hyperscale, colocation, HPC, or AI data centers.\n\nExperience with high-density GPU infrastructure and direct-to-chip liquid cooling.\n\nExperience with CDUs, warm-water cooling, dry coolers, adiabatic systems, or water-side economization.\n\nFamiliarity with CFD, Pipe-Flo, AFT Fathom, Revit, or comparable engineering tools.\n\nExperience with water chemistry, glycol systems, filtration, flushing, and cooling-system cleanliness requirements.\n\nExperience supporting factory testing, commissioning, integrated systems testing, or failure investigations.\n\nProfessional Engineer licensure or progress toward licensure.\n\nSalary Range Information\n\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.\n\nAbout Lambda\n\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\n\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.\n\nCompensation Range: $349K - $465K","company":"Lambda","rawCompany":"lambda","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-15T09:54:21.936Z","occupations":[{"code":"17-2141.00","title":"Mechanical Engineers","slug":"mechanical-engineers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"333415","title":"Air-Conditioning and Warm Air Heating Equipment and Commercial and Industrial Refrigeration Equipment Manufacturing","slug":"air-conditioning-and-warm-air-heating-equipment-and-commercial-and-industrial-refrigeration-equipment-manufacturing"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"221330","title":"Steam and Air-Conditioning Supply","slug":"steam-and-air-conditioning-supply"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Mechanical Engineer","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.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWhat You’ll Do\n\nOwn mechanical design standards and reference architectures for large-scale AI data centers.\n\nDevelop cooling architectures for greenfield, retrofit, and partner-operated facilities.\n\nDesign central plants, heat-rejection systems, hydronic distribution, air-cooling systems, and direct-to-chip liquid-cooling infrastructure.\n\nPerform cooling-load, heat-transfer, hydraulic, pressure-drop, psychrometric, and equipment-capacity calculations.\n\nDevelop and review P&IDs, equipment schedules, layouts, specifications, sequences of operation, and basis-of-design documents.\n\nSelect and size chillers, cooling towers, dry coolers, pumps, heat exchangers, CRAHs, CDUs, piping, valves, and water-treatment systems.\n\nEvaluate designs for capacity, redundancy, failure isolation, maintainability, efficiency, water use, constructability, cost, and schedule.\n\nTranslate GPU, rack, and cluster thermal requirements into facility cooling requirements.\n\nReview partner designs, vendor submittals, construction documents, and equipment packages for compliance with Lambda standards.\n\nCoordinate mechanical interfaces with electrical systems, controls, building structure, hardware engineering, construction, commissioning, and operations.\n\nSupport equipment selection, long-lead procurement, factory testing, construction sequencing, commissioning, and system bring-up.\n\nInvestigate cooling failures and operational risks, driving lessons back into future designs.\n\nTravel to project sites, manufacturers, and partner facilities as needed.\n\nYou\n\nHave experience designing mechanical systems for data centers, mission-critical facilities, central plants, or large industrial environments.\n\nUnderstand hydronic systems, heat transfer, chilled-water systems, heat rejection, pumping, filtration, and water treatment.\n\nCan develop and review P&IDs, mechanical layouts, equipment schedules, technical specifications, and engineering calculations.\n\nUnderstand mechanical redundancy, failure domains, maintainability, and operational requirements.\n\nCan evaluate system performance across changing weather conditions and compute loads.\n\nUnderstand applicable mechanical, plumbing, energy, and safety codes and standards.\n\nCan balance cooling performance, efficiency, water consumption, reliability, cost, and delivery schedule.\n\nCommunicate clearly across engineering, construction, operations, vendors, and executive stakeholders.\n\nHold a bachelor’s degree in mechanical engineering or equivalent practical experience.\n\nNice to Have\n\nExperience designing hyperscale, colocation, HPC, or AI data centers.\n\nExperience with high-density GPU infrastructure and direct-to-chip liquid cooling.\n\nExperience with CDUs, warm-water cooling, dry coolers, adiabatic systems, or water-side economization.\n\nFamiliarity with CFD, Pipe-Flo, AFT Fathom, Revit, or comparable engineering tools.\n\nExperience with water chemistry, glycol systems, filtration, flushing, and cooling-system cleanliness requirements.\n\nExperience supporting factory testing, commissioning, integrated systems testing, or failure investigations.\n\nProfessional Engineer licensure or progress toward licensure.\n\nSalary Range Information\n\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.\n\nAbout Lambda\n\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\n\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.\n\nCompensation Range: $349K - $465K","datePosted":"2026-09-15T09:54:21.936Z","dateModified":"2026-09-15T09:54:21.936Z","hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4ee63f7232d996d8fe77f3f4"},"url":"https://jobsearcher.com/jobs/4ee63f7232d996d8fe77f3f4"}}