{"schemaVersion":"jobsearcher.job.v1","id":"bf25ec56c51fb8e09b501d70","url":"https://jobsearcher.com/jobs/bf25ec56c51fb8e09b501d70","canonicalUrl":"https://jobsearcher.com/jobs/bf25ec56c51fb8e09b501d70","title":"Senior Mechanical Delivery 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\nWhat You’ll Do\n\nServe as Lambda’s mechanical field engineering owner from construction completion through commissioning, cooling-system bring-up, and initial compute loading.\n\nPerform site walkdowns to verify installed mechanical systems against approved designs, P&IDs, specifications, submittals, and Lambda standards.\n\nValidate equipment installation, piping, supports, valves, instrumentation, insulation, maintenance access, system labeling, and flow direction.\n\nConfirm that redundancy, isolation boundaries, failure domains, bypasses, drains, vents, and maintenance provisions function as designed.\n\nInspect central plants, chillers, cooling towers, dry coolers, pumps, heat exchangers, CRAHs, CDUs, liquid-cooling loops, and associated water systems.\n\nReview pressure-test, flushing, cleaning, filtration, water-treatment, balancing, and equipment-startup results.\n\nIdentify installation deficiencies, design conflicts, and operational risks; document punch-list items and drive them through closure.\n\nWitness factory acceptance testing, site acceptance testing, functional performance testing, and integrated systems testing.\n\nDevelop and review startup plans, MOPs, SOPs, EOPs, commissioning scripts, and mechanical safety controls.\n\nTroubleshoot flow, pressure, temperature, air-removal, fouling, water-quality, equipment, and controls issues during system bring-up.\n\nConfirm cooling capacity, water quality, control stability, redundancy, and monitoring are ready before GPU infrastructure is placed under load.\n\nCoordinate with design engineers, general contractors, mechanical trades, equipment manufacturers, commissioning agents, operations, and HPC deployment teams.\n\nValidate as-built documentation, test reports, equipment settings, commissioning records, and turnover packages before operational handoff.\n\nCapture field lessons and incorporate them into Lambda’s design standards, construction requirements, and site-validation playbooks.\n\nMentor other engineers and provide senior technical leadership during high-risk startup and commissioning activities.\n\nYou\n\nHave significant experience delivering, commissioning, or operating mechanical systems in data centers, mission-critical facilities, central plants, or industrial environments.\n\nUnderstand hydronic systems, heat transfer, pumping, heat exchangers, heat rejection, air cooling, and liquid cooling.\n\nCan interpret P&IDs, equipment submittals, mechanical layouts, control sequences, test reports, and construction documentation.\n\nHave hands-on experience with site inspections, pressure testing, flushing, water treatment, testing and balancing, equipment startup, or commissioning.\n\nUnderstand mechanical redundancy, failure isolation, thermal ride-through, maintainability, and operational risk.\n\nCan determine whether installed systems are ready to safely support high-density compute loads.\n\nUnderstand construction safety, lockout/tagout, stored-energy hazards, and safe startup practices.\n\nCan make sound technical decisions in the field, escalate critical issues, and coordinate corrective work under schedule pressure.\n\nCommunicate clearly with construction teams, engineers, vendors, operators, and senior stakeholders.\n\nAre willing to travel extensively and spend extended periods at active construction and commissioning sites.\n\nHold a bachelor’s degree in mechanical engineering or equivalent practical experience.\n\nNice to Have\n\nExperience commissioning hyperscale, colocation, HPC, or AI data centers.\n\nExperience supporting direct-to-chip liquid cooling, CDUs, technology cooling-water loops, or multi-megawatt GPU deployments.\n\nKnowledge of coolant chemistry, glycol systems, filtration, flushing, passivation, corrosion control, and materials compatibility.\n\nFamiliarity with Level 1–5 commissioning and integrated systems testing.\n\nExperience using Procore, Bluebeam, commissioning-management platforms, or building-automation trend data.\n\nExperience investigating cooling failures and leading root-cause analysis.\n\nProfessional Engineer licensure, commissioning certification, or testing-and-balancing certification.\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: $217K - $298K","company":"Lambda","rawCompany":"lambda","city":"Denver","state":"CO","isRemote":false,"isActive":true,"createdAt":"2026-09-15T08:32:16.193Z","occupations":[{"code":"17-2141.00","title":"Mechanical Engineers","slug":"mechanical-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"49-9021.00","title":"Heating, Air Conditioning, and Refrigeration Mechanics and Installers","slug":"heating-air-conditioning-and-refrigeration-mechanics-and-installers"}],"industries":[{"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":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Mechanical Delivery 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\nWhat You’ll Do\n\nServe as Lambda’s mechanical field engineering owner from construction completion through commissioning, cooling-system bring-up, and initial compute loading.\n\nPerform site walkdowns to verify installed mechanical systems against approved designs, P&IDs, specifications, submittals, and Lambda standards.\n\nValidate equipment installation, piping, supports, valves, instrumentation, insulation, maintenance access, system labeling, and flow direction.\n\nConfirm that redundancy, isolation boundaries, failure domains, bypasses, drains, vents, and maintenance provisions function as designed.\n\nInspect central plants, chillers, cooling towers, dry coolers, pumps, heat exchangers, CRAHs, CDUs, liquid-cooling loops, and associated water systems.\n\nReview pressure-test, flushing, cleaning, filtration, water-treatment, balancing, and equipment-startup results.\n\nIdentify installation deficiencies, design conflicts, and operational risks; document punch-list items and drive them through closure.\n\nWitness factory acceptance testing, site acceptance testing, functional performance testing, and integrated systems testing.\n\nDevelop and review startup plans, MOPs, SOPs, EOPs, commissioning scripts, and mechanical safety controls.\n\nTroubleshoot flow, pressure, temperature, air-removal, fouling, water-quality, equipment, and controls issues during system bring-up.\n\nConfirm cooling capacity, water quality, control stability, redundancy, and monitoring are ready before GPU infrastructure is placed under load.\n\nCoordinate with design engineers, general contractors, mechanical trades, equipment manufacturers, commissioning agents, operations, and HPC deployment teams.\n\nValidate as-built documentation, test reports, equipment settings, commissioning records, and turnover packages before operational handoff.\n\nCapture field lessons and incorporate them into Lambda’s design standards, construction requirements, and site-validation playbooks.\n\nMentor other engineers and provide senior technical leadership during high-risk startup and commissioning activities.\n\nYou\n\nHave significant experience delivering, commissioning, or operating mechanical systems in data centers, mission-critical facilities, central plants, or industrial environments.\n\nUnderstand hydronic systems, heat transfer, pumping, heat exchangers, heat rejection, air cooling, and liquid cooling.\n\nCan interpret P&IDs, equipment submittals, mechanical layouts, control sequences, test reports, and construction documentation.\n\nHave hands-on experience with site inspections, pressure testing, flushing, water treatment, testing and balancing, equipment startup, or commissioning.\n\nUnderstand mechanical redundancy, failure isolation, thermal ride-through, maintainability, and operational risk.\n\nCan determine whether installed systems are ready to safely support high-density compute loads.\n\nUnderstand construction safety, lockout/tagout, stored-energy hazards, and safe startup practices.\n\nCan make sound technical decisions in the field, escalate critical issues, and coordinate corrective work under schedule pressure.\n\nCommunicate clearly with construction teams, engineers, vendors, operators, and senior stakeholders.\n\nAre willing to travel extensively and spend extended periods at active construction and commissioning sites.\n\nHold a bachelor’s degree in mechanical engineering or equivalent practical experience.\n\nNice to Have\n\nExperience commissioning hyperscale, colocation, HPC, or AI data centers.\n\nExperience supporting direct-to-chip liquid cooling, CDUs, technology cooling-water loops, or multi-megawatt GPU deployments.\n\nKnowledge of coolant chemistry, glycol systems, filtration, flushing, passivation, corrosion control, and materials compatibility.\n\nFamiliarity with Level 1–5 commissioning and integrated systems testing.\n\nExperience using Procore, Bluebeam, commissioning-management platforms, or building-automation trend data.\n\nExperience investigating cooling failures and leading root-cause analysis.\n\nProfessional Engineer licensure, commissioning certification, or testing-and-balancing certification.\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: $217K - $298K","datePosted":"2026-09-15T08:32:16.193Z","dateModified":"2026-09-15T08:32:16.193Z","hiringOrganization":{"@type":"Organization","name":"Lambda","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bf25ec56c51fb8e09b501d70"},"url":"https://jobsearcher.com/jobs/bf25ec56c51fb8e09b501d70"}}