Mechanical Engineer, Cooling System Design, Google Data Centers

Google • Sunnyvale, CA

5h • $122,000 - $174,000

About The Position

Our thirst for technology is a part of everything we do. The Data Center
Engineering team takes the physical design of our data centers into the future.
Our lab mirrors a research and development department -- cutting-edge strategies
are born, tested and tested again. Along with a team of great minds, you take on
complex topics like how we use power or how to run state-of-the-art,
environmentally-friendly facilities. You're a visionary who optimizes for
efficiencies and never stops seeking improvements -- even small changes that can
make a huge impact. You generate ideas, communicate recommendations to
senior-level executives and drive implementation alongside facilities
technicians.

With your technical expertise, you ensure compliance with codes and standards,
develop infrastructure improvements and serve as an expert in your specialty
(e.g., cooling, electrical).

As a Mechanical Engineer within Data Center Technology Systems (DCTS) a
multidisciplinary consortium of engineers and architects dedicated to pioneering
next-generation data centers. You will assume a pivotal role in the development,
analysis, and optimization of the mechanical cooling infrastructure. You will
leverage advanced analytical tools to unearth crucial data points that inform
the design process for highly efficient mechanical systems. Your fundamental
understanding of thermodynamics and fluid flow will guide your analysis of air
and waterside systems in the evaluation of data center environments with
mission-critical operational requirements. You must be a persuasive and concise
communicator, adept at articulating technical concepts across all digital
platforms and capable of delivering actionable recommendations to
cross-functional engineers and architects to elevate the mechanical systems
within our data centers and accelerate the pace of construction.

The AI and Infrastructure team is redefining what’s possible. We empower Google
customers with breakthrough capabilities and insights by delivering AI and
Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our
customers include Googlers, Google Cloud customers, and billions of Google users
worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering
the development of our cutting-edge AI models, delivering unparalleled computing
power to global services, and providing the essential platforms that enable
developers to build the future. From software to hardware our teams are shaping
the future of world-leading hyperscale computing, with key teams working on the
development of our TPUs, Vertex AI for Google Cloud, Google Global Networking,
Data Center operations, systems research, and much more.

Requirements

• Bachelor's degree in Mechanical or Industrial Engineering, related discipline, or equivalent practical experience.
• 3 years of experience with mechanical infrastructure systems.
• Experience working with thermodynamics, fluid flow, and heat transfer in cooling or heating systems.

Nice To Haves

• Master's degree in Engineering, Business or other relevant field or a professional engineering license.
• Experience in designing complex modular building scale assemblies, with an understanding of mechanical tolerances and tolerance analysis.
• Experience in estimating, mechanical design, operation, and commissioning of data center mechanical equipment.
• Experience in thermal analysis and the design, commissioning, and construction of large-scale cooling, heating, and power generation systems.
• Experience in mechanical design, medium-scale production, structural elements, and compliance with international building codes.
• Proficiency in water/energy calculations and computer-aided engineering tools including cadence reality, applied flow technology fathom, Python, and autodesk construction cloud.

Responsibilities

• Partner with electrical, networking, and operations teams to resolve interrelated issues and optimize the infrastructure for machine learning fleet demands.
• Maintain internal design specifications and drawings to ensure all configurations meet the latest global regulations and engineering standards.
• Lead the development of mechanical systems through computational fluid dynamics modeling, thermal/hydraulic analysis, and pipe sizing to ensure efficiency.
• Peer-review deliverables from architectural and engineering consultants and manufacturing partners, providing technical direction and escalating issues when necessary.
• Provide site-level engineering support and manage design change documentation to ensure safe, controlled, and optimized system deployments.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level