Jobs
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Guide the technical blueprint for Fleet Transformation, ensuring Google's infrastructure manages Artificial Intelligence/Machine Learning (AI/ML) compute needs.
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Design and architect simulation engines and solvers for multi-dimensional constraints (e.g., power, space, network) on global datasets with multiple variables.
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Advance MIP models by migrating fleet optimizations from localized to integrated, cluster-wide solutions for better resource utilization and efficiency.
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Guide the self-driving Fleet initiative by creating automated policy-enforcement layers and lifecycle actions.
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Mentor engineers, promote cross-functional synergy with Planning and Data Center Operations, and ensure reliability of global systems.
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The team is optimizing Google's fleet using Operations Decision Support and discrete algorithms, transitioning from Mixed-Integer Programming (MIP) models to Machine Learning (ML)-powered simulations for predictive, self-governing systems.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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Bachelor's degree in Computer Science, a technical field, or equivalent practical experience.
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8 years of experience in designing and developing large-scale distributed systems and software.
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Experience with large-scale distributed systems, software architecture, computational issues and advanced algorithms.
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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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