Lambda
Staff Mechanical Engineer - Data Center Cooling
San Francisco Office (Fremont St) · Staff+
Sponsorship not specifiedDetected 35 days ago
Cloud PlatformsMachine LearningCFDMechanical DesignElectrical EngineeringHardware DesignResearchRevit
Stay score
odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 9 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- 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.
Responsibilities
- 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.
- 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.
- Develop and review P&IDs, equipment schedules, layouts, specifications, sequence of operation, and basis-of-design documents.
- Review partner designs, vendor submittals, equipment selections, and construction documents for compliance with Lambda standards.
- 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.
- Understand hydronic design, heat transfer, pumping, heat exchangers, chilled-water systems, and heat-rejection equipment.
Requirements
- Have experience with direct-to-chip liquid cooling, CDUs, technology cooling-water loops, or other high-density cooling systems.
- 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.
Skills
- Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
- One person, one GPU.
Compensation
- 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.
- We offer generous cash & equity compensation
Benefits
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- Flexible paid time off plan that we all actually use
Company info
- 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.
Equal opportunity
- 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.
- Equal Opportunity Employer
Visa & Work Authorization
- ational 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
This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.