Staff Data Center Engineer

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 Staff Data Center Engineer on the Emergent AI infrastructure team, you will build the next generation of on-premises AI infrastructure to empower frontier model and AI solution builders for AI around the world.

You will manage the physical execution, site readiness, hardware deployment, and operational of high-density AI accelerators. This role bridges technical hardware engineering, field operations, and customer delivery, ensuring that specialized TPU test-bed environments and production site footprints achieve operational readiness safely, on schedule, and according to quality standards.

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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Finland: €112000 - €114000 (EUR) + 20% bonus target + equity + benefits

Learn more about benefits at Google (https://www.google.com/about/careers/applications/benefits/).

Minimum qualifications:

- Bachelor's degree in Mechanical or Industrial Engineering, related discipline, or equivalent practical experience.

- 10 years of experience in mechanical infrastructure.

Preferred qualifications:

- 10 years of experience leading hardware and mechanical system projects for data centers.

- 8 years of experience in data center engineering.

- Experience in design, construction, and commissioning of mechanical cooling plants, fire suppression systems, fuel oil systems, domestic water systems, and sanitary sewer systems in mission critical facility design and construction environment.

- Knowledge of mechanical engineering and design principles with specific expertise in the areas of design for medium-scale production, structural beams/elements, and international building codes.

- Understanding of data center physical infrastructure, including high-voltage PDU distribution, liquid cooling manifolds, structured optical fibre cabling.

- Manage end-to-end site preparation, facility handover, and environmental verification for AI accelerator Data Centers.

- Conduct comprehensive pre-deployment facility audits covering space, power (high-density delivery), cooling capacity (air and liquid cooling loops), fibre pathways, and physical security parameters.

- Serve as the single point of contact for customer teams during the site readiness life-cycle, translating hardware specifications into site-level operational constraints.

- Establish clear milestone verification checklists to certify hardware powering, network fabric connectivity, thermal stability, and management plane access. Commissioning verification and test-bed health checks to validate system stability before handling environments at engineering teams.

- Enforce field execution Standards of Procedure (SOPs), safety compliance, quality assurance, and Service Level Agreements (SLAs) across rack assembly, cabling, and hardware integrations.