Google India is one of the most sought-after product-based companies in the world. It offers roles in software engineering, AI research, data science, and cloud computing. Google’s selection process is highly competitive, focusing on problem-solving ability, coding excellence, and system design skills.

💰 Google India Packages for Freshers

1. Software Engineer I – ₹25–30 LPA
   • Core development role (backend, frontend, full-stack, or mobile).
2. Site Reliability Engineer (SRE) – ₹28–32 LPA
   • Focused on scalability, infrastructure, and reliability.
3. AI/ML Engineer & Research Roles – ₹35–45 LPA+
   • For candidates with strong background in AI, ML, and data science.

💡 Apart from high salary, Google also offers stock options, performance bonuses, and perks.

📝 Google Placement Rounds

The process generally consists of 5–6 tough rounds:

1. Online Test (Coding + Aptitude)
   • 2–3 coding problems (DSA-based, medium-hard).
   • Covers algorithms, data structures, and problem-solving.
2. Technical Interview 1 (DSA Focus)
   • Arrays, strings, linked lists, trees, graphs, dynamic programming.
   • Example:
     • Implement an LRU cache.
     • Find shortest path in a graph using Dijkstra’s algorithm.
3. Technical Interview 2 (Algorithms + Problem Solving)
   • More complex coding problems with optimization.
   • Example:
     • Design an autocomplete system.
     • Write code for word break problem (DP).
4. System Design / Low-Level Design(for SDE roles)
   • Design scalable systems like URL shortener, chat system, or recommendation engine.
5. Technical Interview 3 (Advanced + Domain Specific)
   • Focus on ML/AI, Cloud, or Distributed Systems (depending on role).
6. HR / Googleyness Round
   • Checks culture fit, teamwork, leadership, and problem-solving mindset.
   • Example: “Tell us about a time you solved a problem creatively in a team setting.”

📖 Preparation Tips for Google

• Master DSA & Algorithms – arrays, trees, graphs, DP, backtracking.
• Practice system design problems (scalability, APIs, databases).
• Revise core CS subjects: OOPs, DBMS, OS, CN.
• If targeting AI/ML roles – focus on ML algorithms, TensorFlow, PyTorch.
• Build a strong portfolio of projects / research papers.
• Practice mock interviews on Google’s past questions & LeetCode Hard problems.

🔗 Best Websites to Prepare for Google

• GeeksforGeeks – Google Interview Experiences
• LeetCode – Google Tagged Problems
• InterviewBit – DSA & system design
• HackerRank – Practice coding
• Exercism – Problem-solving practice

🔺 Upside of Working at Google

• World-class compensation (salary + stocks + perks).
• Work on cutting-edge AI, ML, and Cloud projects.
• Access to global teams and research labs.
• Great work culture – focus on innovation and employee well-being.
• Opportunities to switch teams and domains internally.

👉 Pro Tip: Google values problem-solving + creativity + collaboration. Along with coding, prepare to demonstrate your “Googleyness” (adaptability, teamwork, innovative thinking) in interviews.