Senior Mechanical Engineer, Data Center Cooling Leader

Google; Reno (NV); On-site; USD 171,000 - 247,000; Full time

Job summary

Google is seeking a Mechanical Engineer for the Data Center Technology Systems team to lead the design, testing, and deployment of next‑generation data center cooling and mechanical infrastructure.

You will perform detailed thermal analysis, CFD, and hydraulic modeling, champion modular construction, and collaborate with Planning, Operations and Execution teams to accelerate scalable, efficient infrastructure for Google’s AI workloads.

Qualifications

• Bachelor’s degree in Mechanical or Industrial Engineering or related field.
• 10 years of experience in mission-critical facility design and construction environments.
• Experience with thermal analysis, CFD, or hydraulic modeling for air and waterside systems.
• Experience collaborating with cross-functional teams to develop technical documentation and commissioning plans.

Responsibilities

• Serve as technical lead for global mechanical infrastructure design, testing, and deployment of cooling components.
• Implement offsite modular construction and pre-fabrication strategies to improve deployment timelines.
• Conduct detailed thermal analysis, CFD, and hydraulic modeling to validate technologies.
• Collaborate with Planning, Operations, and Execution teams to optimize the fleet and align with project schedules for AI workloads.
• Prepare engineering project packages including statements of work, drawings, and commissioning test plans.

Skills

Thermal analysis

CFD

Hydraulic modeling

Cross-functional collab

Education

Bachelor's degree in Mechanical or Industrial Engineering

Master’s degree in Mechanical Engineering

PE license

Tools

Cadence Reality DC Design

AFT Fathom

AutoPipe

Job description

Google is seeking a Mechanical Engineer for the Data Center Technology Systems team to lead the design, testing, and deployment of next‑generation data center cooling and mechanical infrastructure.

You will perform detailed thermal analysis, CFD, and hydraulic modeling, champion modular construction, and collaborate with Planning, Operations and Execution teams to accelerate scalable, efficient infrastructure for Google’s AI workloads.