Software Engineering PhD Intern, Summer 2026

Minimum qualifications:

• Pursuing a PhD program with a focus in software development or other technical related field.
• Experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, JavaScript, Go, etc.).
  
• Experience working in Unix/Linux environments.
  
• Experience with data structures, algorithms, and software design.
  

Preferred qualifications:

• Research experience in Algorithms, Architecture, Artificial Intelligence, Compilers, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems.
• Programming experience in one or more of the following: C/C++, C#, Java, JavaScript, Python Objective C, Go or similar.
• Experience in computer science, with competencies in data structures, algorithms and software design.
  

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.

• Create and support a productive and innovative team including working with peers, managers, and teams.
• Develop scalable engineering solutions for Google products
• 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.