Mechanical Engineer, Cooling System Modular Design

Google Google · Big Tech · Reno, NV +3

Mechanical Engineer focused on designing and optimizing cooling systems for data centers that support Google's machine learning infrastructure. Responsibilities include technical leadership, implementing modular construction, conducting thermal analysis and CFD modeling, and collaborating with cross-functional teams to ensure scalability and efficiency.

What you'd actually do

  1. Serve as the technical lead for global mechanical infrastructure, leading the design, testing, and deployment of custom data center cooling components and next-generation technologies.
  2. Implement offsite modular construction and pre-fabrication strategies to streamline deployment timelines and improve infrastructure scalability.
  3. Conduct detailed thermal analysis, computational fluid dynamics (CFD), and hydraulic modeling of complex air and waterside systems to validate proposed technologies.
  4. Collaborate with Planning, Operations, and Execution teams to optimize the fleet and integrate complex mechanical systems parallel to project schedules to support machine learning demands.
  5. Prepare and deliver comprehensive engineering project packages, including statements of work, product specifications, drawings, and commissioning test plans.

Skills

Required

  • Bachelor's degree in Mechanical or Industrial Engineering, a related discipline, or equivalent practical experience.
  • 5 years of experience in mission critical facility design and construction environments.
  • Experience using software tooling to conduct thermal analysis, computational fluid dynamics (CFD), or hydraulic modeling for air and waterside systems.
  • Experience collaborating with cross-functional teams (e.g., operations, construction, or planning) to develop technical project documentation, specifications, or commissioning plans.

Nice to have

  • Master’s degree in Mechanical Engineering, a Professional Engineering (PE) license, or equivalent advanced technical credentials.
  • Experience with off-site modular construction, pre-fabrication methodologies, and off-site commissioning strategies in large-scale industrial or mission-critical environments.
  • Experience with flushing critical cooling fluid systems including piping and equipment.
  • Experience working with specialized engineering software such as Cadence Reality DC Design, AFT Fathom, or AutoPipe.
  • Excellent communication skills, able to work in teams and matrix organization.

What the JD emphasized

  • machine learning fleet
  • machine learning demands