
Job Overview
Location
U.S. Remote
Job Type
Full-time
Category
Other Engineering
Date Posted
July 9, 2026
Full Job Description
📋 Description
- • Serve as the most senior technical authority for operational mechanical and cooling infrastructure across the hyperscale AI data center fleet.
- • Lead site assessments and operational audits, and drive team technical readiness ahead of site activation.
- • Review designs and specifications from an operational lens, and feed operational learnings back into design and manufacturing as the build model becomes productized.
- • Be the senior voice on chillers, cooling towers, CDUs, and the liquid-cooling architectures AI infrastructure depends on.
- • Own mechanical operational readiness and the commissioning-to-operations handover for new sites.
- • Author and approve high-risk mechanical MOPs, EOPs, and AOPs, and lead root cause analysis on significant cooling events.
🎯 Requirements
- • Career experience on critical mechanical systems with a focus on thermal precision for AI workloads.
- • Expertise in chilled water, chillers, cooling towers, CRAH/CRAC, pumps, CDUs, and direct liquid cooling in live environments.
- • Experience authoring and executing high-risk mechanical MOPs and leading root cause analysis on significant cooling events.
- • Ability to assess operational readiness at any site, audit the posture, and raise the standard.
- • Experience teaching and building the mechanical readiness of teams ahead of activation.
- • Bonus: Hyperscale or large colocation at hundreds of MW. Direct liquid cooling and CDU operations. ASHRAE TC 9.9. Chilled water plant optimization. Uptime Institute.
🏖️ Benefits
- • Competitive total compensation package (salary + equity).
- • Retirement or pension plan, in line with local norms.
- • Health, dental, and vision insurance.
- • Generous PTO policy, in line with local norms.
- • Base salary range: $220,000 - $260,000 per year, depending on experience, skills, qualifications, and location.
Skills & Technologies
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About FluidStack Inc.
FluidStack Inc. operates a distributed cloud platform that aggregates under-utilized GPUs in data centers and individual machines worldwide, renting them on-demand to AI researchers, startups, and enterprises for training and inference workloads. The company automates deployment, security, and billing, offering prices up to 80% below traditional hyperscalers while providing instant access to high-end NVIDIA A100, H100, and consumer GPUs through a single API and web console. Headquartered in London, FluidStack targets machine-learning engineers who need scalable, low-cost compute without long-term commitments, claiming thousands of active nodes and customers including Fortune 500 enterprises and leading research labs.
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