Software Engineering Intern – Summer 2027
Job overview
| Designation | Software Engineering Intern – Summer 2027 |
|---|---|
| Company | |
| Job location | Bengaluru, Hyderabad, Pune |
| Experience | Students Graduating in 2027 |
| Salary | Competitive Internship Stipend (As Per Google Standards) |
| Employment type | full time |
Job description
Google is inviting applications for its Software Engineering Internship Program – Summer 2027. This 10–12 week internship is designed for students pursuing Computer Science or related technical degrees who are passionate about solving large-scale engineering challenges. Interns will work on real-world projects, develop AI-powered software solutions, collaborate with experienced engineers, and contribute to products used by billions of users worldwide.
Key responsibilities
• Develop scalable engineering solutions for Google products
• Design, build, test, and maintain software systems
• Work on AI-integrated applications and infrastructure
• Collaborate with cross-functional engineering teams
• Analyze complex problems and implement effective solutions
• Apply computer science concepts to real-world challenges
• Contribute to large-scale distributed systems
• Support innovation, productivity, and engineering excellence
• Participate in code reviews and technical discussions
Required skills
• Java
• Python
• C/C++
• JavaScript
• Go
• Data Structures
• Algorithms
• Object-Oriented Programming
• Software Design
• Problem Solving
• Distributed Systems
• Concurrency
• Multi-threading
• Synchronization
• Debugging
• System Design
Eligibility & qualifications
• Currently pursuing Bachelor's, Master's, or Dual Degree
• Computer Science or related technical field
• Strong understanding of Data Structures and Algorithms
• Experience with at least one programming language
• Knowledge of Software Engineering fundamentals
• Good analytical and problem-solving abilities
PREFERRED QUALIFICATIONS
• Artificial Intelligence
• Machine Learning
• Compilers
• Database Systems
• Data Mining
• Distributed Systems
• Networking
• System Programming
• Large-scale System Development
• Performance Optimization
• Production System Experience
• Data Analysis & Visualization
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