Google Is Hiring Software Engineering in Multiple Locations – Apply Now

Google Software Engineering PhD Intern opportunities are available for Summer 2027 in India, offering eligible doctoral students the chance to work on complex software engineering projects. Google is inviting candidates pursuing a PhD in software development or a related technical field to apply for a paid internship lasting 12 or more weeks.

The internship provides an opportunity to apply computer science knowledge to real-world engineering challenges, develop scalable software solutions and collaborate with experienced engineering teams. Interns may contribute to projects involving artificial intelligence, distributed systems, networking, data storage, information retrieval and other areas of computer science.

Candidates can indicate their preferred working location from Bengaluru, Karnataka; Hyderabad, Telangana; and Pune, Maharashtra. Google’s recruitment team will determine the most suitable project and team based on the candidate’s resume and technical background.

This opportunity is specifically intended for PhD students with relevant technical experience. Applicants should review the minimum qualifications carefully before submitting their applications through Google Careers.

Selected interns will work on software engineering projects that address Google’s technical and product requirements. Their responsibilities may include:

• Developing scalable engineering solutions for Google products.

• Applying computer science concepts to practical engineering problems.

• Analyzing technical information and evaluating results to identify effective solutions.

• Collaborating with team members, managers and other engineering groups.

• Contributing to AI-integrated software and large-scale systems, depending on the assigned project.

• Supporting the development of high-performance applications and distributed software systems.

• Applying knowledge of algorithms, data structures and software design to engineering tasks.

• Participating in a professional development environment that encourages productivity, collaboration and innovation.

The specific project and responsibilities will depend on the candidate’s background, resume and team placement.

Technical Skills

Candidates should demonstrate relevant technical knowledge and programming experience, including:

• Programming languages: Experience with one or more general-purpose languages, such as Java, C/C++, Python, JavaScript or Go.

• Unix/Linux: Experience working in Unix or Linux environments.

• Data structures and algorithms: Understanding of fundamental computer science concepts.

• Software design: Knowledge of designing and developing software solutions.

• Computer science fundamentals: Ability to apply technical concepts to practical engineering challenges.

The role also emphasizes the ability to:

• Collaborate effectively with peers and managers.

• Analyze problems and evaluate possible solutions.

• Communicate technical ideas clearly.

• Contribute to team productivity and innovation.

• Adapt to complex engineering challenges and learn new technologies.

Programming skills help interns develop and maintain software, while data structures and algorithms support efficient problem-solving. Unix/Linux experience is relevant to working in technical development environments. Software design knowledge helps candidates build maintainable applications and contribute to scalable systems.

Research experience in areas such as artificial intelligence, machine learning, compilers, databases, distributed systems, networking, architecture or data mining may be advantageous for relevant projects. These research areas are preferred qualifications rather than universal requirements.

Applicants should tailor their resumes to demonstrate how their academic and technical background matches the internship requirements.

• Current PhD program and relevant research specialization.

• Programming languages used in research, coursework or software projects.

• Experience working with Unix/Linux environments.

• Projects involving algorithms, data structures and software design.

• Research publications or projects relevant to computer science, where applicable.

• Experience in machine learning, AI, distributed systems, databases, networking or other relevant research areas.

• Measurable contributions to software development or technical research, where supported by actual experience.

Use specific examples to explain your contribution, the technologies used and the results achieved. Keep all resume information accurate and relevant to the position.

This internship may be relevant to doctoral students seeking practical software engineering experience alongside their research.

Potential benefits include:

• A paid internship lasting 12 or more weeks.

• Exposure to real-world software engineering challenges.

• Opportunities to contribute to scalable software systems.

• Collaboration with engineering teams.

• A professional development program that includes an executive speaker series and community-building activities.

• Potential project exposure across areas such as AI, distributed systems, networking and data storage, depending on team placement.

The position is designed for PhD candidates and should not be treated as a general undergraduate or entry-level fresher internship.

Candidates can use the application link provided below to submit their applications. Review the complete job requirements and application details on the employer’s careers page before applying.

Q1. What is the main focus of this Software Engineering PhD Intern position?

The internship focuses on developing scalable software solutions and applying computer science knowledge to real-world engineering challenges.

Q2. What type of work will the selected candidate handle?

Interns will contribute to software engineering projects, analyze technical problems and collaborate with engineering teams.

Q3. What skills are relevant to this position?

Programming, Unix/Linux, data structures, algorithms and software design are required areas of technical knowledge.

Q4. What should candidates highlight in their resume?

Candidates should highlight their PhD research, programming experience, technical projects and relevant computer science expertise.

Q5. How can candidates apply?

Candidates can click the official Google Careers link, find the exact internship listing and submit their application online.