Jobs
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Design, implement, and productionize features for the Cloud Admission Controller (CloudAC) to manage the scalable capacity model for Google Compute Engine (GCE).
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Engineer smarter admission control mechanisms and optimization strategies to ensure the most efficient utilization of infrastructure, directly impacting cost and performance.
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Develop and integrate features to support an increasingly complex hardware fleet, including managing specific requirements for various accelerators such as TPUs and GPUs.
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Innovate architectural solutions to address scale growth as the demand for computing resources continues to expand.
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Lead project priorities for small-to-moderate complexity initiatives while collaborating with cross-functional partners to gather requirements and define technical roadmaps.
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Bachelor’s degree or equivalent practical experience.
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2 years of experience programming in C++.
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Experience architecting and developing distributed systems.
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Experience with software design and architecture.
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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
57,502 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 per 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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