Software Engineering PhD Intern

• Foster a culture of productivity and innovation by actively supporting your peers and managers. Collaborate across teams to ensure the continued success and evolution of the AI-driven software and large-scale systems that define our technical landscape.
• 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.

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.
  

Join us for a 12+ 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.

Our recruitment team will determine where you fit best based on your resume.

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

Software Engineering Intern:

You will be a key player on a dynamic team, driving the development of AI-integrated software and high-performance applications. Your primary objective is to design, deploy, and maintain the end-to-end infrastructure that sustains our large-scale systems. This is a unique opportunity to contribute to Google’s core needs while evolving your technical expertise in a fast-paced, real-world environment.

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 a 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. 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.

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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India.

• 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.