Google: Software Engineer, University Graduate, 2026

Google’s Software Engineers are the architects behind the next-generation technologies that shape how billions of users connect, explore, and interact with information worldwide. As a University Graduate Software Engineer, you will work on projects ranging from large-scale distributed systems and machine learning to natural language processing, mobile and web UI, networking, security, and data storage. Every day, you’ll be solving challenges that push the boundaries of performance, scalability, and reliability at Google’s massive scale.

In this role, you will join a small, versatile team and take ownership of designing, implementing, testing, and deploying software solutions that have real impact. You’ll collaborate with cross-functional teammates—product managers, UX designers, fellow engineers, and research scientists—to conceive new features, optimize complex systems, and deliver products that billions depend on. Google’s engineering culture encourages experimentation, code reviews, and knowledge sharing, so you’ll learn from experts while also contributing fresh ideas drawn from your academic and internship experiences.

This is an entry-level position tailored for recent graduates or soon-to-graduate computer science and engineering majors (class of 2026). You’ll receive mentoring from senior engineers, be introduced to best practices for coding at scale, and gain hands-on exposure to Google’s internal tools, frameworks, and infrastructure. Google prides itself on being an engineering company at heart—hiring individuals with diverse technical interests who can thrive on tackling ambitious problems. If you’re passionate about building software that impacts users on a global level, collaborating in an open, fast-paced environment, and driving innovation across multiple domains, this role offers the perfect launchpad for your career.

🎓 Minimum Qualifications

• Bachelor’s degree (or equivalent practical experience) in Computer Science, Computer Engineering, or related technical discipline, expected graduation by mid-2026.

• Experience programming in one or more of the following languages: C, C++, Java, or Python.

• Familiarity with Unix/Linux environments, distributed systems, TCP/IP networking, or machine learning concepts.

• Demonstrated ability to write clean, modular, and well-tested code.

⭐ Preferred Qualifications

• Bachelor’s degree or advanced degree in Computer Science, Computer Engineering, or related field (e.g., Master’s).

• Hands-on experience with large-scale system design, data structures, algorithms with a focus on performance and scalability.

• Familiarity with information retrieval, search technologies, or data storage systems.

• Projects or internships involving natural language processing, machine learning, UI/UX, or cloud infrastructure.

• Effective written and verbal communication skills, with the ability to collaborate in a fast-paced, cross-functional environment.

💰 Estimated Salary Range

(Entry-level, University Graduate positions in major Indian tech hubs)

• Monthly Salary: ₹70,000 – ₹1,00,000

• Annual CTC: ₹8.4 LPA – ₹12 LPA

Note: Salaries may vary depending on academic performance, location, and any internship experience.

🎁 Perks & Benefits

• Comprehensive Health Coverage: Medical, dental, and vision insurance.

• Generous Leave Policies: Paid time off, sick leave, and parental leave programs.

• Learning & Development: On-the-job training, mentorship from senior engineers, internal tech talks, and access to Google’s learning platforms.

• Employee Wellness: Access to on-site/virtual wellness centers, fitness reimbursements, and mental health resources like counseling services.

• Retirement & Financial Well-Being: Provident Fund contributions, retirement planning resources, and performance-based bonuses.

• Global Mobility: Opportunities to work with teams across India, or potentially transfer internationally as you progress in your career.

• Cutting-Edge Environment: Work on Google’s proprietary infrastructure, leverage internal tools (e.g., Borg, Spanner), and contribute to open source projects.

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