Download free Uber placement papers 2025 with DSA questions and solutions. Access coding problems, system design, interview process, and complete preparation guide.
Uber is a global transportation technology company that connects riders with drivers through its mobile app platform. Founded in 2009, Uber operates in 70+ countries and has expanded beyond ride-sharing to include food delivery (Uber Eats), freight, and autonomous vehicles. Uber India has significant engineering presence working on payment systems, mapping, and platform optimization.
Headquarters: San Francisco, California, USA
Employees: 32,000+ globally
Industry: Transportation, Technology
Revenue: $37+ Billion USD (2023)
Download free Uber placement papers 2025 with previous year questions, detailed solutions, exam pattern, and complete preparation guide. Access Uber last 5 years placement papers with solutions PDF download and practice with solved questions covering all sections including DSA, system design, and coding problems.
Academic Requirements
Marks: 70% or 7.0+ CGPA in 10th, 12th, and graduation
Degree: B.Tech/B.E./M.Tech in Computer Science, IT, or related fields
Year of Study: Final year students and recent graduates (within 1 year)
Backlogs: No active backlogs at the time of application
Branch Eligibility
Eligible Branches: Computer Science, Information Technology, Electronics (preferred)
Programming Focus: All engineering branches with strong programming skills accepted
Experience: Freshers and candidates with 0-2 years experience
Additional Criteria
Programming Skills: Strong skills in at least one language (Python, Java, C++)
Data Structures & Algorithms: Strong problem-solving abilities required
System Design: Understanding of distributed systems (for senior roles)
Gap Years: Allowed if justified with valid reasons
Software Engineer Role
Primary Role: Software Engineer I/II (freshers), Senior Software Engineer (experienced)
Salary Package: ₹18-50 LPA for freshers based on experience and location
Selection: Through Uber placement process (6 rounds)
Focus: DSA, system design, coding skills, problem-solving
Access free Uber placement papers PDF and Uber previous year question paper with detailed solutions. Download Uber last year question paper and Uber question paper PDF from previous years with comprehensive question banks covering DSA, system design, and coding problems.
2024 Placement Papers PDF
Download Uber placement papers 2024 PDF with previous year DSA questions, solutions, and exam pattern analysis.
2025 Placement Papers PDF
Download latest Uber placement papers 2025 PDF with current year DSA questions, solutions, and updated exam patterns.
2026 Preparation Guide
Prepare for Uber placement 2026 with expected exam pattern, coding questions, and comprehensive preparation strategy.
What's Included
Complete Uber placement papers (2024-2026) with DSA questions, detailed solutions, answer keys, exam pattern analysis, and topic-wise organization.
Campus Recruitment
College Drives - Through placement cells at tier-1 engineering colleges
Direct registration via college coordinators
Off-Campus Hiring
Uber Careers Portal - Apply online for off-campus positions
Referrals - Employee referrals are highly valued
Internship to Full-Time
Internship Program - Summer internships often convert to full-time offers
Strong performance during internship increases chances
The Uber placement process focuses on technical excellence and problem-solving abilities. Understanding the detailed exam pattern is crucial for effective preparation.
Online Assessment (OA) - 90 minutes
Total Duration: 90 minutes Total Problems: 2-3 coding problems Format: Online coding assessment Negative Marking: No Platform: HackerRank or similar
Problem Details:
Evaluation Criteria:
Success Rate: ~20-25% of candidates clear this round
Technical Interview Round 1 - 45 minutes
Format: Virtual/Onsite video call Total Problems: 1-2 problems Language: Any preferred language Time: 45 minutes
Problem Types:
Evaluation:
Success Rate: ~40% of OA candidates advance
Technical Interview Round 2 - 45 minutes
Format: Virtual/Onsite video call Focus Areas: System design and advanced coding
Topics Covered:
Evaluation:
Success Rate: ~50% of Round 1 candidates advance
Technical Interview Round 3 - 45 minutes
Format: Virtual/Onsite video call Focus Areas: Deep technical dive
Topics:
Evaluation:
Success Rate: ~60% of Round 2 candidates advance
Managerial Round - 45 minutes
Format: Virtual/Onsite video call
Success Rate: ~70% of Round 3 candidates advance
HR Round - 30 minutes
Format: Virtual/Onsite video call
Success Rate: ~80% of Managerial Round candidates get offers
| Phase | Duration | Key Activities |
|---|---|---|
| Application & Screening | 1 week | Resume review, initial screening |
| Online Assessment | 1-2 days | Coding assessment, results evaluation |
| Technical Interviews | 1-2 weeks | 3 technical rounds, scheduling |
| Managerial & HR Rounds | 3-5 days | Final interviews, offer discussion |
| Result Declaration | 2-3 days | Offer letter, negotiation, acceptance |
Practice with 30+ Uber placement paper coding questions covering DSA, system design, and algorithmic problems. These questions are representative of what you’ll encounter in Uber’s online assessment and technical interviews.
What’s Included:
Q1: Two Sum Problem
Problem: Given an array of integers and a target sum, find two numbers that add up to the target.
Solution:
def two_sum(nums, target): hash_map = {} for i, num in enumerate(nums): complement = target - num if complement in hash_map: return [hash_map[complement], i] hash_map[num] = i return []Explanation: Use hash map to store numbers and their indices. For each number, check if complement exists.
Time Complexity: O(n), Space Complexity: O(n)
Q2: LRU Cache
Problem: Design and implement a data structure for Least Recently Used (LRU) cache.
Solution: Use doubly linked list and hash map for O(1) operations.
Time Complexity: O(1) for get and put operations
Q3: Merge Intervals
Problem: Merge overlapping intervals in a collection.
Solution: Sort intervals by start time, then merge overlapping ones.
Time Complexity: O(n log n)
Q1: Design Uber’s Ride-Matching System
Requirements:
Approach:
Q2: Design a Distributed Rate Limiting System
Requirements:
Approach:
Key Preparation Principles:
Preparation Approaches:
| Level | Experience | Base Salary | Total Package | Typical Background |
|---|---|---|---|---|
| Software Engineer I | 0-1 years | ₹15-20 LPA | ₹18-25 LPA | Freshers, new graduates |
| Software Engineer II | 1-2 years | ₹20-28 LPA | ₹25-35 LPA | 1-2 years experience |
| Senior Software Engineer | 3-5 years | ₹30-42 LPA | ₹35-50 LPA | 3-5 years experience |
| Staff Software Engineer | 5+ years | ₹45-60 LPA | ₹50-70 LPA | 5+ years experience |
| Role | Level | Total Package | Requirements |
|---|---|---|---|
| Product Manager | Entry | ₹25-35 LPA | MBA or technical background |
| Data Engineer | Mid | ₹30-45 LPA | Big data, distributed systems |
Hiring Trends 2025
Increased Focus on System Design: Uber is placing more emphasis on system design skills, especially for mid-level and senior roles.
Expansion in India: Uber continues to expand engineering teams in Bangalore, Hyderabad, and Gurgaon offices.
AI/ML Integration: Growing demand for engineers with AI/ML experience for autonomous vehicles and route optimization.
Process Changes
Virtual Interviews: All interviews are now conducted virtually, with option for onsite final rounds.
Faster Hiring: Streamlined process with faster turnaround times (2-3 weeks instead of 4-6 weeks).
Enhanced OA: Online assessment now includes more system design questions for experienced candidates.
New Initiatives
Uber Engineering Blog: Regular technical blog posts sharing engineering challenges and solutions.
Open Source Contributions: Encouraging engineers to contribute to open source projects.
Diversity & Inclusion: Enhanced focus on building diverse engineering teams.
Company Growth
Uber Eats Expansion: Continued growth in food delivery segment, creating more engineering opportunities.
Autonomous Vehicles: Investment in self-driving technology, requiring specialized engineering talent.
Global Expansion: Expansion into new markets, requiring scalable platform engineering.
Uber placement papers are previous year question papers from Uber recruitment tests and interview rounds. These papers help students understand the exam pattern and prepare effectively.
Yes, all Uber placement papers on our website are completely free to access and download. You can practice unlimited questions without any registration or payment.
We provide Uber placement papers from recent years including 2024 and 2025. Our collection is regularly updated with the latest questions and exam patterns.
Uber placement process typically includes online assessment, technical interview, and HR interview rounds. See the placement process section for complete details.
Uber interview process typically consists of 2-3 rounds: online test, technical interview, and HR interview. Some roles may have additional rounds.
Uber eligibility criteria for freshers include minimum percentage requirements, degree requirements, and other criteria. Check the eligibility section for detailed information.
The minimum CGPA required varies by role. Check the eligibility criteria section for specific requirements.
To prepare for Uber placement: 1. Understand eligibility criteria, 2. Study exam pattern, 3. Practice previous year papers, 4. Master key skills, 5. Prepare for interviews. See the preparation strategy section for detailed guidance.
Focus on Data Structures & Algorithms (arrays, graphs, trees, dynamic programming), System Design (distributed systems, microservices, databases), Coding Practice (LeetCode, HackerRank), and Core CS subjects (OS, DBMS, Networking). See the preparation strategy section for detailed topic breakdown.
Uber salary for freshers (2025): Software Engineer I: ₹18-25 LPA for new graduates, Software Engineer II: ₹25-35 LPA (1-2 years experience), Senior Software Engineer: ₹35-50 LPA (3-5 years). All figures are total annual compensation including base salary, bonuses, stock options, and benefits. Salaries vary based on location (Bangalore, Hyderabad, Gurgaon) and candidate experience.
Uber offers various roles including Software Engineer (I, II, Senior, Staff), Product Manager, Data Engineer, ML Engineer, and Site Reliability Engineer. Each role has different requirements and compensation packages. Software Engineer roles are most common for freshers and early-career candidates.
Uber offers: Opportunity to work on real-time systems impacting millions of users, strong engineering culture with focus on technical excellence, competitive compensation with stock options, comprehensive benefits including health insurance and learning budget, flexible work arrangements, and exposure to cutting-edge technologies in transportation and logistics.
Uber’s work culture emphasizes: Fast-paced environment with focus on impact, strong engineering culture valuing technical depth, collaborative teamwork across global teams, innovation and experimentation, work-life balance with flexible hours, and continuous learning and growth opportunities.
Uber: Focus on transportation technology, strong engineering culture, fast-paced environment, ₹18-50 LPA for freshers, emphasis on system design and scalability. Google: Focus on search and cloud, excellent work-life balance, ₹25-60 LPA, emphasis on algorithms and problem-solving. Amazon: Focus on e-commerce and AWS, customer-centric culture, ₹20-45 LPA, emphasis on leadership principles. Choose Uber if you want to work on real-time systems and transportation tech. Choose Google/Amazon if you prefer established products and larger scale.
Uber: Global company, ₹18-50 LPA, focus on transportation tech, strong engineering culture. Ola: Indian company, ₹15-40 LPA, focus on Indian market, growing engineering team. Swiggy: Food delivery focus, ₹18-45 LPA, strong product engineering. Choose based on your interest in transportation vs food delivery, and preference for global vs Indian company culture.
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Ready to start your Uber preparation? Practice with our placement papers and coding problems above. Focus on strong fundamentals in data structures, algorithms, and system design for the best results.
Pro Tip: Uber values problem-solving approach and communication skills. Practice explaining your solutions clearly and discussing trade-offs in system design problems.
Last updated: November 2025