Build strong fundamentals in data structures, algorithms, object-oriented programming, and system design
Maintain a high GPA if you are a student
Gain experience through personal projects, open-source contributions, hackathons, and internships
Learn one or more programming languages commonly used in industry, such as Python, Java, C++, or Go
Create a polished resume with relevant skills, projects, achievements, and measurable impact
Prepare for coding interviews with regular practice on LeetCode, HackerRank, and similar platforms
Practice behavioral interview questions using the STAR method
Apply through Google Careers, university recruiting portals, referrals, and internship programs
Tailor your resume and application to the specific internship role
Network with Google employees, recruiters, alumni, and professionals on LinkedIn
Contribute to Google-related technologies, communities, or open-source projects when possible
Prepare for technical interviews in coding, problem-solving, and basic computer science concepts
Show evidence of teamwork, leadership, initiative, and problem-solving ability
Apply early and track application deadlines carefully
Follow up professionally if you receive recruiter communication
Keep improving your portfolio, resume, and interview performance after each application cycle