{"id":921034,"url":"https://alion.io/job/lambda-senior-mechanical-controls-engineer","title":"Senior Mechanical Controls Engineer","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":8,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","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":255000,"max":340000,"currency":"USD","period":"year","gross":null,"usd_annual":340000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS Lambda","optional":false},{"name":"OPC UA","optional":false},{"name":"AWS","optional":true},{"name":"HPC","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-14T17:23:16Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-04T14:27:18Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"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 controls standards and reference architectures for mechanical systems supporting large-scale AI data centers.\n\nDevelop control narratives, sequences of operation, points lists, alarm matrices, cause-and-effect diagrams, and controller requirements.\n\nDefine automation for central cooling plants, heat-rejection systems, pumps, heat exchangers, CRAHs, CDUs, liquid-cooling loops, valves, and associated equipment.\n\nDesign system behavior for startup, shutdown, maintenance, component failure, utility loss, and recovery.\n\nEstablish requirements for sensors, actuators, meters, control panels, PLCs, DDC controllers, gateways, and operator interfaces.\n\nDefine BMS integration, mechanical telemetry, trending, alarming, data retention, and interfaces with other operational systems.\n\nReview partner designs, vendor submittals, control drawings, network architectures, and equipment packages for compliance with Lambda standards.\n\nCoordinate controls requirements across mechanical, electrical, network, hardware, construction, commissioning, and operations teams.\n\nSupport factory testing, site acceptance testing, commissioning, integrated systems testing, and cooling-system bring-up.\n\nTroubleshoot control-loop instability, sensor errors, communication failures, nuisance alarms, and sequence deficiencies.\n\nIncorporate commissioning results and operating lessons into future designs and control standards.\n\nTravel to project sites, manufacturers, and partner facilities as needed.\n\nYou\nHave experience designing or commissioning mechanical controls for data centers, mission-critical facilities, central plants, or industrial environments.\n\nUnderstand chilled-water, condenser-water, heat-rejection, air-cooling, and liquid-cooling systems.\n\nCan develop and review sequences of operation, P&IDs, control diagrams, wiring diagrams, points lists, and functional test procedures.\n\nUnderstand PLC, DDC, and BMS architectures and common protocols such as BACnet, Modbus, and OPC UA.\n\nHave experience with instrumentation, sensor selection, control loops, alarms, interlocks, and equipment safeties.\n\nUnderstand how mechanical systems should respond during equipment failures, power events, and changing thermal loads.\n\nCan translate operational requirements into clear, testable control behavior.\n\nCommunicate effectively with engineers, programmers, vendors, commissioning teams, and facility operators.\n\nHold a bachelor’s degree in mechanical, electrical, controls, or systems engineering, or equivalent practical experience.\n\nNice to Have\nExperience with hyperscale, colocation, HPC, or AI data centers.\n\nExperience controlling high-density liquid-cooling systems, CDUs, or warm-water cooling loops.\n\nFamiliarity with platforms from Siemens, Schneider Electric, Johnson Controls, Honeywell, Rockwell, or Tridium.\n\nExperience with OT networking, controls cybersecurity, controller redundancy, or high-availability automation.\n\nFamiliarity with EPMS design, electrical systems SOOs and monitoring\n\nExperience with factory acceptance testing, integrated systems testing, and live facility bring-up.\n\nFamiliarity with ASHRAE, ISA, and data center controls standards.\n\nExperience using trend data or analytics to diagnose and optimize mechanical-system performance.\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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