Software Engineering Intern, PhD, Summer 2025

1 Month ago • Upto 1 Years • Research & Development

Job Summary

Job Description

This 12-14 week paid Software Engineering Internship (PhD level) at Google in Taipei, Taiwan offers personal and professional development opportunities, including an executive speaker series and community building. Interns will work on a specific project critical to Google's needs, developing scalable, distributed software systems and collaborating on various projects. Responsibilities include designing, testing, deploying, and maintaining software solutions, contributing to a productive team, developing automation scripts, analyzing information, and applying computer science knowledge to real-world challenges. The internship is open to PhD candidates in their penultimate year or returning to studies after the internship, with a focus on software development or related technical fields.
Must have:
  • Pursuing PhD in software development or related field
  • Experience in software development (Python or C++)
  • Experience with data structures and algorithms
  • Contribute to a productive team
  • Develop automation scripts
  • Analyze information and solve issues
Good to have:
  • Research experience in AI, Data Mining, etc.
  • Experience with C/C++, Python, CUDA
  • Strong data structures, algorithms, and software design skills
Perks:
  • Paid internship
  • Personal and professional development
  • Executive speaker series
  • Community building

Job Details


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 the TW and available to work full time for 12 weeks outside of university term time.
  • In their penultimate academic year or returning to a degree program after completion of the internship.
  • Research experience in Artificial Intelligence, Data Mining, Distributed Systems, Machine Learning, Data Science, LLM, Rule Base or Systems.
  • Programming experience in one or more of the following: C/C++, Python, CUDA.
  • Experience in computer science, with competencies in data structures, algorithms and software design.

About the job

Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.

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, test, deploy, and maintain software solutions as you grow and evolve during your internship.

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

  • Create and support a productive and innovative team including working with peers, managers, and teams.
  • Develop scripts to automate routine tasks.
  • Analyze information and evaluate results to choose the best solution to effectively solve issues.
  • Apply knowledge gained in computer science courses to real world challenges.

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