Senior Datacenter Engineer, Systems Engineering
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Minimum qualifications:
- Bachelor's in Engineering, Science, a related field, or equivalent practical experience.
- 5 years of experience working with mission critical facilities.
- Experience with industrial control platforms such as schneider electric (e.g., power (Supervisory Control and Data Acquisition (SCADA) Operations), inductive automation (e.g., ignition), or rockwell (e.g., factorytalk).
- Experience with Building Management Systems (BMS) for mechanical plants, including chiller and boiler controls, and HVAC sequences of operation.
Preferred qualifications:
- Master's degree or PhD in Engineering, Science, or a related field.
- Experience with digital signal processing and time-series analysis.
- Experience with optimization, linear programming, and convex optimization.
- Experience with the IEC 61850 protocol and High-Voltage (HV) SCADA interfaces.
- Familiarity with compliance requirements for pertinent codes, standards, and low voltage switchgear standards.
- Proficiency in programming or scripting language (e.g., Python, SQL, C++, Java).
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).
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.
The US base salary range for this full-time position is $144,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Collaborate with internal teams to develop and review data center monitoring and control system designs for both electrical and mechanical systems.
- Be responsible for the successful delivery of vendor products and services according to Google's design and hardware standards.
- Work with site operations teams to troubleshoot and resolve control system issues across all facility infrastructure. Implement and manage security protocols for our industrial control systems.
- Create and manage scopes of work, update internal design specifications, and maintain all controls and monitoring system interface documents. Develop protocols to manage critical operational data.
- Analyze trends related to power usage effectiveness and other key metrics to drive continuous improvement and plant efficiency.
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