Google PhD internship: software engineering opportunities in Bengaluru, Hyderabad and Pune

About Google’s Summer 2027 PhD internship

Google lists a paid Software Engineering PhD internship for summer 2027 with a duration of at least 12 weeks. Applicants can state a preference among Bengaluru, Hyderabad and Pune. The opportunity combines a team engineering project with professional development and community activities. It is specifically for students pursuing a relevant PhD, so a bachelor’s-only profile should not assume eligibility from the software-engineering title.

Minimum academic and technical requirements

Applicants must be pursuing a PhD with a focus on software development or another related technical field. They need experience with at least one general-purpose programming language, work in Unix or Linux environments, and foundations in data structures, algorithms and software design. The notice names languages such as Java, C/C++, Python, JavaScript and Go as examples rather than requiring proficiency in every language listed.

Preferred research experience

Relevant research areas include algorithms, architecture, artificial intelligence, compilers, databases, data mining, distributed systems, machine learning, networking and systems. These are preferences described by Google, not a guarantee of a particular team allocation. Applicants whose work is more specialised can explain the underlying methods, engineering contribution and transferable technical skills rather than simply listing a research-area label.

What an intern would work on

The internship involves a project relevant to Google’s engineering needs, including scalable software and large systems. Responsibilities include evaluating information, choosing technical approaches and applying computer-science knowledge to practical problems. Collaboration with colleagues is part of the remit. The recruiter considers the résumé when determining a suitable fit; the advert does not promise work on a particular product or research topic.

Cities, duration and availability

Bengaluru, Hyderabad and Pune are the stated location preferences. A preference is an opportunity to indicate interest, not an advance assurance of placement in that city. The programme is described as a paid internship lasting 12 or more weeks. Exact dates, team schedule and working arrangement should be established through recruitment, particularly if they need to fit your university’s research or academic commitments.

Stipend and information not published

Google does not state a numerical stipend or an application closing date in this posting. English proficiency is required for global collaboration unless the role says otherwise. The advert does not give a fixed interview-round count, selection date or promise of subsequent employment. Compensation estimates from a different country, internship year or level should not be treated as the published terms for this opportunity.

How to apply through Google Careers

Open Google Careers job 109976286780105414 and use its official application action. Match the PhD internship title and provide an accurate résumé and any information requested in the application. The employer’s current page controls whether submissions remain available. If an accommodation is needed, Google provides an applicant-accommodation route; follow the employer’s instructions rather than sending sensitive documents through an unrelated site.

Practical preparation: connect research with engineering

A useful résumé entry explains the research question, your implementation, the evaluation method and what you learned from the results. Where possible, identify your contribution separately from a supervisor’s or coauthor’s work. Link public code or a publication only if appropriate and accessible. This is application guidance, not an extra publication or portfolio requirement announced by Google.

Questions to clarify before accepting an internship

Discuss the project-matching process, expected dates and city, and how the placement fits your PhD commitments. Ask about supervision, any confidentiality constraints on research output and the actual compensation package. These are sensible planning topics for a research student and do not imply that the public advert guarantees thesis credit, a publication or a particular team assignment.

Relevant skills

• Programming
• Unix/Linux
• Data structures
• Algorithms
• Software design