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Software Engineering Intern, PhD, Summer 2026

Google

Software Engineering Intern, PhD, Summer 2026

Google

placeTaipei, Taiwan

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Professional development budget

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Equity

Learning

Healthcare

Required Skills

PostgreSQL

React

Python

About the job

As a Software Engineering intern, you will work on a specific project critical to Google’s needs.

Software Engineering Intern:

As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our engineers to be versatile, and enthusiastic in addressing problems as we continue to push technology forward.

You will design, implement, and manage the hardware, software, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, cloud customers and the billions of people who use Google services around the world.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

Responsibilities

  • Develop software for Google Cloud’s infrastructure to empower Google service and external cloud customers, with hardware platforms including compute, storage, or AI-accelerators like TPUs and GPUs.

  • Create and support a productive and innovative team including working with peers, managers, and teams.

  • Analyze data and evaluate results to choose the best solution to effectively solve issues.

  • Develop scripts or use AI to automate routine tasks and manual processes.

  • Apply knowledge gained in computer science courses to real world issues.

Minimum qualifications

  • Pursuing a PhD program with a focus on subjects in software development or other technical related fields.

  • Experience in software development and coding in one or more of the following: Python or C++.

  • Experience with data structures or algorithms gathered from inside or outside of school or work.

Preferred qualifications

  • Currently attending a degree program in Taiwan and available to work full time for 12 weeks outside of university term time.

  • Penultimate academic year or returning to a degree program after completion of the internship.

  • Programming experience in one or more of the following: C/C++, Python, CUDA.

  • Research experience in computer architecture, embedded systems, accelerators, artificial intelligence, data mining, distributed systems, machine learning, data science, LLM, rule base or systems.

  • Experience in computer science, with competencies in data structures, algorithms and software design.

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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

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