Senior Datacenter Engineer, Systems Engineering

Google • Austin, TX

3h • $144,000 - $211,000

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).

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 [https://careers.google.com/benefits/].

Requirements

• 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.

Nice To Haves

• 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).

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.

What This Job Offers

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