Free account to apply · application completed on Google
MINIMUM QUALIFICATIONS:
* Bachelor's degree in Engineering, Computer Science, a related field, or
equivalent practical experience.
* 5 years of experience managing the technical design and implementation of OT
infrastructure and networking.
* Experience of industrial control system hardware (PLCs, relays, IEDs, IO
modules) and networking layer integration.
* Experience in industrial control system architecture as it pertains to
network segmentation, standard protocols (e.g., BACnet, Modbus, OPC, IEC
61850), and system administration.
PREFERRED QUALIFICATIONS:
* Knowledge of, or experience in electrical and mechanical systems.
* Knowledge of, or experience in data center infrastructure/critical
infrastructure.
* Ability to generate technical product specifications/requirements, conceptual
schematics, and system architecture drawings to drive control networking
system projects.
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).
To support delivering AI and Infrastructure at an unparalleled scale,
efficiency, reliability and velocity, the Data Center Control Engineering team
takes the control/networking design of our data centers into the future. Our
team mirrors a research and product development department where cutting-edge
designs/strategies are incubated, developed and productized for construction.
In this role, you will take on complex OT networking and infrastructure
challenges to develop new technologies, and optimize processes to further
increase our networking posture and networking infrastructure across products.
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.
RESPONSIBILITIES:
* Develop scope, requirements for networking initiatives to drive the design,
implementation, testing of secure, and resilient operational technology (OT)
security solutions. Perform design document development, implementation and
lab and on-site testing of networking solutions.
* Perform technical review of new control system infrastructure initiatives,
embedding networking requirements into the lifecycle from initial design,
testing to deployment.
* Serve as a technical liaison and collaborate between cross-functional teams
to resolve complex design, integration, and deployment challenges in
mission-critical environments.
* Perform sustaining and life cycling activities during pre and post
deployment, and operations for networking solutions and OT infrastructure
components (e.g., SCADA/HMI servers, clients, software).
* Identify opportunities for continuous improvement and maturation of the OT
environment to drive risk reduction.
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