{"id":797343,"url":"https://alion.io/job/lambda-staff-mechanical-engineer-data-center-cooling","title":"Staff Mechanical Engineer - Data Center Cooling","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":86,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"staff","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":349000,"max":465000,"currency":"USD","period":"year","gross":null,"usd_annual":465000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS Lambda","optional":false},{"name":"AWS","optional":true},{"name":"HPC","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-11T19:52:03Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-11-02T11:06:10Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"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 or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\nWhat You’ll Do\nOwn cooling-system standards and reference architectures for large-scale AI data centers.\n\nDesign the complete thermal path from GPU and rack heat capture through facility distribution and final heat rejection.\n\nTranslate server, rack, and cluster requirements into coolant temperature, flow, pressure, water-quality, and facility-capacity requirements.\n\nDevelop air-cooled, liquid-cooled, and hybrid cooling architectures for greenfield, retrofit, and partner-operated facilities.\n\nDesign central plants, technology cooling-water loops, CDUs, heat exchangers, pumps, piping, chillers, cooling towers, dry coolers, and adiabatic systems.\n\nPerform thermal, hydraulic, pressure-drop, heat-transfer, psychrometric, and equipment-capacity calculations.\n\nEvaluate system performance across site climate conditions, compute-load changes, equipment failures, and maintenance scenarios.\n\nDevelop and review P&IDs, equipment schedules, layouts, specifications, sequence of operation, and basis-of-design documents.\n\nDefine requirements for redundancy, thermal ride-through, failure isolation, maintainability, efficiency, and water consumption.\n\nEstablish requirements for coolant chemistry, materials compatibility, filtration, flushing, cleanliness, leak detection, and fluid management.\n\nReview partner designs, vendor submittals, equipment selections, and construction documents for compliance with Lambda standards.\n\nCoordinate cooling interfaces across hardware engineering, electrical engineering, controls, construction, commissioning, and operations.\n\nSupport equipment testing, construction sequencing, commissioning, cooling-system bring-up, and initial GPU loading.\n\nInvestigate thermal events and cooling failures, incorporating lessons into future designs and operating standards.\n\nTravel to project sites, manufacturers, and partner facilities as needed.\n\nYou\nHave experience designing cooling systems for data centers, mission-critical facilities, central plants, or large industrial environments.\n\nUnderstand hydronic design, heat transfer, pumping, heat exchangers, chilled-water systems, and heat-rejection equipment.\n\nHave experience with direct-to-chip liquid cooling, CDUs, technology cooling-water loops, or other high-density cooling systems.\n\nCan develop and review P&IDs, equipment specifications, mechanical layouts, and engineering calculations.\n\nCan model system capacity, flow, pressure loss, temperature approach, and performance across varying operating conditions.\n\nUnderstand cooling-system redundancy, failure domains, thermal ride-through, maintainability, and operational risk.\n\nUnderstand the relationship between GPU behavior, rack density, coolant conditions, and facility cooling capacity.\n\nCan balance reliability, efficiency, water consumption, equipment cost, and delivery schedule.\n\nCommunicate clearly across engineering, construction, operations, equipment vendors, and executive stakeholders.\n\nHold a bachelor’s degree in mechanical engineering or equivalent practical experience.\n\nNice to Have\nExperience designing cooling for hyperscale, colocation, HPC, or AI data centers.\n\nExperience supporting multi-megawatt liquid-cooled GPU deployments.\n\nExperience with warm-water cooling, water-side economization, dry coolers, or adiabatic heat rejection.\n\nFamiliarity with CFD, Pipe-Flo, AFT Fathom, Revit, or comparable engineering tools.\n\nKnowledge of coolant chemistry, glycol systems, corrosion control, filtration, and wetted-material compatibility.\n\nFamiliarity with ASHRAE TC 9.9 guidance and liquid-cooling industry standards.\n\nExperience with factory testing, commissioning, integrated systems testing, or live system bring-up.\n\nProfessional Engineer licensure or progress toward licensure.\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. 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.","description_format":"text","description_chars":5755,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Platforms (IaaS & PaaS)","Servers & Data Center Hardware","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-09-12T06:03:37Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 19","filings_12m":19,"filings_prev_12m":7,"green_card_filings_12m":0,"median_offered_wage_usd":267500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":46,"band":"ok","label":"Likely open","p_open":1,"p_active":0.835,"p_room":0.55,"age_days":51,"expected_fill_days":48,"reasons":["conf:3","velocity","win:tail"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":465000,"is_top_pay":true},"html_url":"https://alion.io/job/lambda-staff-mechanical-engineer-data-center-cooling","json_url":"https://alion.io/job/lambda-staff-mechanical-engineer-data-center-cooling.json","meta":{"generated_at":"2026-11-02T11:15:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15506,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":32991},"rest":"https://alion.io/mcp/rest/get_company?id=32991"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flambda-staff-mechanical-engineer-data-center-cooling"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flambda-staff-mechanical-engineer-data-center-cooling"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flambda-staff-mechanical-engineer-data-center-cooling"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/lambda-staff-mechanical-engineer-data-center-cooling\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flambda-staff-mechanical-engineer-data-center-cooling"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":797343}},{"tool":"search_jobs","arguments":{"company":"lambda.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":797343},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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