Jobs
Compensation
$166,000 - $244,000
Benefits & Perks
•Comprehensive health, dental, and vision insurance
•401(k) matching
•Team events and activities
•Competitive salary and equity package
•Flexible work arrangements
•Healthcare
•Equity
•Flexible Hours
Required Skills
React
TypeScript
PostgreSQL
About the job
Power Modeling team’s mission is to build tools and services to gather and serve accurate power data about how our fleet of data centers are planned and built, from power grid to chips, enabling maximum utilization of infrastructure, software reliability (e.g., Borg and Colossus), and optimal cluster planning. To accomplish this mission, we create highly reliable services, software tools and UIs to model all power topologies of Google’s data centers from the power sub-station to the racks and in-rack devices, which is critical for optimal planning, safe and reliable operation, and optimal infrastructure utilization. Compute and serve the failure domain data needed to avoid correlated failures in Borg job scheduling and Colossus data placement, which is critical for Google’s reliability. Represent accurate hardware power and thermal models, critical for validating rack design, rack placements and maximizing data center power and cooling infrastructure utilization, while staying within deployment constraints.
The US base salary range for this full-time position is $166,000-$244,000 + 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
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Develop and manage the Power Topology infrastructure to construct and serve topological data for current and planned data center power graphs.
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Utilize Power Grab and Power Map to accurately collect and update power topology data by scanning racks and power equipment during data center audits.
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Maintain Failure Domain services to ensure high availability for Colossus and Borg, enabling intelligent decision-making for global data and job distribution.
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Maintain applications used by technicians to record power connections feeding racks and in-rack devices.
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Analyze power utilization of production and ML machines to verify and increase the accuracy of power models.
Minimum qualifications
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Bachelor’s degree or equivalent practical experience.
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5 years of experience in software development.
Preferred qualifications
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Master's degree or PhD in Computer Science or a related technical field.
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Experience with Web Applications, Front-End Development, Angular.
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Familiarity with managing Google specific productions systems.
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Excellent coding skills in Java, Typescript, Angular, C++ etc.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
3.7
25 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
63,375 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total / year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
Interview Experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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