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Google
Google

Organizing the world's information and making it universally accessible.

Senior Systems Development Engineer, AI Infrastructure

RoleEngineering
LevelSenior
WorkOn-site
TypeFull-time
Posted1 month ago
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About the job

Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.

Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.

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 team 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.

Responsibilities

  • Contribute to the strategic goal for the Hybrid and On-premises Infrastructure business by assisting in defining, delivering architecture, and road map initiatives.

  • Work with peer engineers and managers within Google teams and external partners to influence product and team road map.

  • Contribute to customer advocacy by understanding user needs and help to deliver solutions that meet customer needs.

  • Support the team in maintaining and enhancing product, engineering, operational, and support excellence to ensure reliable and high-performance operations.

  • Work closely with cross-functional teams to ensure the timely delivery of new product initiatives.

Minimum qualifications

  • Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

  • 5 years of experience with systems automation, and with systems design and implementation of software, or tool development.

  • 5 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting), and with reliability of technical infrastructure.

Preferred qualifications

  • 2 years of experience with software design and architecture, in a cloud infrastructure provider environment.

  • Experience testing, maintaining, and launching software products/infrastructure.

  • Experience with debugging, troubleshooting and diagnosing issues in complex distributed systems.

  • Experience with compute technologies.

  • Experience with low level system software, OS, firmware, low level networking, or hardware.

  • Excellent system building skills.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Mid/L4

Mid/L4 · Accessibility Analyst

1 reports

$214,500

total per year

Base

$165,000

Stock

-

Bonus

-

$214,500

$214,500

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