[Remote] Advanced Cooling Facilities Manager at Lambda

United States

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$131,000 – $204,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, Data CentersIndustries

Requirements

Deep domain expertise in liquid cooling technologies, particularly Direct Liquid Cooling (DLC) systems
Accomplished experience in critical facilities management
Expertise in Coolant Distribution Units (CDUs), hybrid loop architectures, and advanced heat-rejection systems
Ability to work cross-functionally with internal and external experts
Willingness to travel 50% to various data center sites

Responsibilities

Define and oversee operational standards and lifecycle management for all CDU systems (L2L and L2A), including performance optimization, reliability engineering, and capacity expansion strategies; utilize advanced analytics for predictive maintenance
Lead the design and management of multi-stage cooling loops from facility to rack level, ensuring precise control of temperature, pressure, and flow rate; establish system performance benchmarks and quality assurance protocols for coolant integrity and flow balancing
Coordinate and validate integration of CDUs with facility water systems (FWS), heat exchangers, and mechanical infrastructure; develop standardized control sequences and commissioning procedures across multiple OEM platforms
Architect the monitoring framework for coolant system telemetry (pressure, temperature, flow, differential, and conductivity); leverage analytics for continuous improvement in thermal performance, redundancy, and energy efficiency
Design and institutionalize predictive and preventive maintenance methodologies, including condition-based maintenance schedules, failure-mode analysis, and reliability improvement plans for pumps, heat exchangers, and filtration systems
Evaluate and forecast thermal capacity requirements for high-density GPU clusters; drive design and procurement of CDUs and loop systems to support rack densities exceeding 1 MW; develop multi-year cooling capacity roadmaps aligned with corporate growth strategies
Partner with data center design and mechanical engineering teams to co-develop cooling topologies, redundancy strategies, and modular infrastructure designs optimized for scalability and efficiency
Act as the primary technical authority for liquid cooling vendor engagement, influencing product roadmaps, negotiating technical specifications, and qualifying emerging solutions such as direct-to-chip and immersion cooling
Evaluate and pilot next-generation cooling technologies and automation platforms to reduce PUE and enhance reliability

Skills

Key technologies and capabilities for this role

Direct Liquid CoolingDLCCDUCoolant Distribution UnitsHybrid Loop ArchitecturesHeat Rejection SystemsPredictive MaintenanceReliability EngineeringAdvanced AnalyticsData Center ManagementLiquid Cooling Systems

Questions & Answers

Common questions about this position

What is the salary range for the Advanced Cooling Facilities Manager position?

The salary range is $131K - $204K.

Is this position remote?

Yes, the position is remote. Note that 50% travel is required to various data center sites.

What key skills and expertise are required for this role?

The role requires deep domain expertise in liquid cooling technologies, critical facilities management, CDU operations (L2L and L2A), technical loop governance for multi-stage cooling loops, and performance engineering including monitoring telemetry like pressure, temperature, flow, and predictive maintenance.

What is the company culture like at Lambda?

Lambda focuses on building the world's best deep learning cloud with a mission to make compute as ubiquitous as electricity and give every person access to artificial intelligence, emphasizing innovation in AI factories for training and inference.

What makes a strong candidate for this position?

A strong candidate is an accomplished professional with deep expertise in Direct Liquid Cooling (DLC) systems, CDU operations, technical loop governance, system integration, performance engineering, and predictive maintenance for cooling infrastructure in data centers.

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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