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Principal Data Center Mechanical Engineer - Remote

Posted 1 week ago
All others
Full Time
USA

Overview

Fluidstack is the AI Cloud Platform focused on building GPU supercomputers for top AI labs, governments, and enterprises, emphasizing customer satisfaction and high standards.

In Short

  • Own the datacenter cooling system design and thermal management.
  • Manage mechanical engineering systems including air and liquid cooling.
  • Create strategies for mechanical system design and deployment.
  • Develop design standards for cooling systems.
  • Lead innovation in mechanical engineering for efficiency.
  • Maintain design documentation and specifications.
  • Conduct factory and site inspections for mechanical systems.
  • Perform CFD modelling for airflow validation.
  • Specify equipment like chillers and pumps.
  • Drive energy-efficiency initiatives.
  • Interface with other engineering teams during design reviews.
  • Willing to travel domestically and internationally (20% travel expected).

Requirements

  • B.S/B.E/B.A degree in Mechanical Engineering.
  • 10+ years of experience in datacenter mechanical systems design.
  • Mastery of ASHRAE TC 9.9 and ISO 14644 standards.
  • Hands-on experience with CFD software and Revit/BIM.
  • Strong vendor network in cooling system components.
  • PE/Chartered Engineer preferred.

Benefits

  • Competitive compensation package including salary and equity.
  • Retirement or pension plan.
  • Health, dental, and vision insurance.
  • Generous PTO policy.
  • Remote-first work environment with access to WeWork for non-office locations.

FluidStack

FluidStack

FluidStack is an innovative AI cloud company that collaborates with leading AI firms globally, including notable names like Poolside, Meta, Modal, and Reka. The company specializes in providing high-performance computing (HPC) as a service, ensuring that its GPU infrastructure operates at peak performance while offering exceptional support to its customers. FluidStack is committed to scaling its operations through automation and efficient deployment of new clusters, making it a key player in the AI cloud industry.

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