Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Lambda

Staff Mechanical Engineer - Data Center Cooling

Career Insights for Data Center Technician / Engineer

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on California data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Data Center Technician or Engineer organizes data access, maintenance and access support to a data center. Maybe help to store and organize data, such as an organization's records or financial information. Ensures that users can easily access the information they need and that data are protected from unauthorized access.

$100,780 / year median in California

+6% projected growth

Explore Career

Job Description

Staff Mechanical Engineer - Data Center Cooling Lambda San Jose, CA Job Details Full-time $349,000 - $465,000 a year 21 hours ago Benefits Health insurance Dental insurance Paid time off Work from home Vision insurance 401(k) matching Qualifications Performance monitoring Bachelor's degree in mechanical engineering Thermal analysis Fluid dynamics Construction detail documentation Construction specifications Data center experience Chilled water HVAC systems Chiller Requirements design Computational fluid dynamics (CFD) Leak testing Mechanical Engineering Mechanical system commissioning projects Thermal hydraulics Revit Corrosion management Construction drawing review Pumping systems System testing Filtration Design engineering Water systems Construction stakeholder communication Equipment testing Capacity planning Corrosion control Commissioning phase involvement Construction submittals Design of mechanical systems Full Job 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. If you'd like to build the world's best AI cloud, join us.
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. What You'll Do Own cooling-system standards and reference architectures for large-scale AI data centers. Design the complete thermal path from GPU and rack heat capture through facility distribution and final heat rejection. Translate server, rack, and cluster requirements into coolant temperature, flow, pressure, water-quality, and facility-capacity requirements. Develop air-cooled, liquid-cooled, and hybrid cooling architectures for greenfield, retrofit, and partner-operated facilities. Design central plants, technology cooling-water loops, CDUs, heat exchangers, pumps, piping, chillers, cooling towers, dry coolers, and adiabatic systems. Perform thermal, hydraulic, pressure-drop, heat-transfer, psychrometric, and equipment-capacity calculations. Evaluate system performance across site climate conditions, compute-load changes, equipment failures, and maintenance scenarios. Develop and review P&IDs, equipment schedules, layouts, specifications, sequence of operation, and basis-of-design documents. Define requirements for redundancy, thermal ride-through, failure isolation, maintainability, efficiency, and water consumption. Establish requirements for coolant chemistry, materials compatibility, filtration, flushing, cleanliness, leak detection, and fluid management. Review partner designs, vendor submittals, equipment selections, and construction documents for compliance with Lambda standards. Coordinate cooling interfaces across hardware engineering, electrical engineering, controls, construction, commissioning, and operations. Support equipment testing, construction sequencing, commissioning, cooling-system bring-up, and initial GPU loading. Investigate thermal events and cooling failures, incorporating lessons into future designs and operating standards. Travel to project sites, manufacturers, and partner facilities as needed. You Have experience designing cooling systems for data centers, mission-critical facilities, central plants, or large industrial environments. Understand hydronic design, heat transfer, pumping, heat exchangers, chilled-water systems, and heat-rejection equipment. Have experience with direct-to-chip liquid cooling, CDUs, technology cooling-water loops, or other high-density cooling systems. Can develop and review P&IDs, equipment specifications, mechanical layouts, and engineering calculations. Can model system capacity, flow, pressure loss, temperature approach, and performance across varying operating conditions. Understand cooling-system redundancy, failure domains, thermal ride-through, maintainability, and operational risk. Understand the relationship between GPU behavior, rack density, coolant conditions, and facility cooling capacity. Can balance reliability, efficiency, water consumption, equipment cost, and delivery schedule. Communicate clearly across engineering, construction, operations, equipment vendors, and executive stakeholders. Hold a bachelor's degree in mechanical engineering or equivalent practical experience. Nice to Have Experience designing cooling for hyperscale, colocation, HPC, or AI data centers. Experience supporting multi-megawatt liquid-cooled GPU deployments. Experience with warm-water cooling, water-side economization, dry coolers, or adiabatic heat rejection. Familiarity with CFD, Pipe-Flo, AFT Fathom, Revit, or comparable engineering tools. Knowledge of coolant chemistry, glycol systems, corrosion control, filtration, and wetted-material compatibility. Familiarity with
ASHRAE TC 9.9
guidance and liquid-cooling industry standards. Experience with factory testing, commissioning, integrated systems testing, or live system bring-up. Professional Engineer licensure or progress toward licensure. Salary Range Information The 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. About Lambda Founded in 2012, with 500+ employees, and growing fast Our 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 We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda 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.
Compensation Range:
$349K - $465K

Benefits

  • Paid Time Off (PTO)
  • 401(k) Plans
  • Bonuses/Stipends
  • Health Insurance