Staff Data Center Engineer

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.

ABOUT THE JOB:

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/].

RESPONSIBILITIES:

* 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.