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Software Engineer, Generative AI Application and Tooling

Google

Software Engineer, Generative AI Application and Tooling

Google

·

On-site

·

Full-time

·

1w ago

  • Design and build the next generation of automated agentic testing framework. Create scalable, AI-enhanced solutions to support mobile application development across a wide range of devices.

  • Design and implement AI-powered simulation engines to simulate intricate, real-world user journeys and device environments in authentic usage conditions that traditional automation might miss.

  • Serve as a key resource for engineering teams, providing the tools and insights needed to ensure mobile applications deliver a positive user experience.

  • Take full ownership of critical infrastructure components, collaborating across cross-functional teams to embed automated quality checks throughout the entire software development lifecycle.

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.

The team plays a key role in ensuring the overall software experiences launch quality of Android and Pixel software with the practices of transforming how Android, Pixel and other teams create, develop, and launch software. The team collaborates with cross-functional teams across multiple sites, encompassing infrastructure and tooling development while leveraging AI. The team is responsible with in-house feature testing, carrier pre-certification testing, quality analysis, and more.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

  • Bachelor’s degree or equivalent practical experience.

  • 2 years of experience with software development in one or more programming languages (e.g., Python, Kotlin, TypeScript, or Java), or 1 year of experience with an advanced degree.

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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

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