Jobs
Benefits & Perks
•Flexible work arrangements
•Team events and activities
•Professional development budget
•401(k) matching
•Parental leave
•Generous paid time off and holidays
•Flexible Hours
•Learning
•Parental Leave
Required Skills
PostgreSQL
Python
JavaScript
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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.
As a SWE Engineering Manager for the Graphics Processing Unit (GPU) Platforms Software team, you will lead the team and work with many cross-functional teams (e.g., hardware, system, data center deployment) to provide the foundational AI infrastructure that enables the state-of-the-art AI applications for Google and Cloud customers. The GPU System Software team is responsible for building GPU compute solutions that power various Google services like Google Cloud, YouTube, Deep Mind, etc. We also maintain the systems deployed in the data centers with state of the art reliability monitoring services, kernel rollouts, firmware and driver upgrades.
Responsibilities
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Design, develop and maintain the system software stack for GPU system software.
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Help identify dependencies in cross functional teams and drive NPI execution with a peculiar focus on development velocity and quality.
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Drive System Software integration to enable next generation GPU Accelerators for Google Data Center.
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Data Center GPUs software/kernel driver/firmware development, integration and validation.
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Develop test suites that enable unit, integration and system level testing of our system software.
Minimum qualifications
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Bachelor's degree in Electrical Engineering, Computer Science, a related technical field, or equivalent practical experience.
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2 years of experience in software, firmware and driver development in languages such as C/C++.
Preferred qualifications
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Master's degree or PhD in Electrical Engineering, Computer Science or related technical fields.
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Experience designing and developing device drivers for peripherals like GPUs, PCIe Switches and connectivity buses like I2C, USB, PCIe.
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Experience using revision control systems like Git and Perforce.
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Experience in doing the debug, development, and testing work in the linux environment.
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Expertise in server system architecture, networking or embedded system.
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Expertise in problem solving, technical innovation.
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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
News & Buzz
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·
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Videogame stocks slide on Google's AI model that turns prompts into playable worlds - Reuters
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News
·
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