Scale Engineer

Fellow

Software EngineerUber EngineerVery High

The Uber Fellow program is a prestigious opportunity for exceptional software engineers to contribute to cutting-edge projects, drive innovation, and gain deep insights into Uber's technology and business. Fellows work on challenging problems, collaborate with world-class engineers, and have a significant impact on the company's future.

Rounds·4

Timeline·~6d

Experience·5 - 10 yrs

Comp band·US$180000 - US$250000

Interview time·210 min

Evaluation

What they measure.

  • Technical Proficiency: Demonstrated expertise in software development, algorithms, data structures, and system design.
  • Problem-Solving: Ability to analyze complex problems, devise effective solutions, and articulate the thought process.
  • System Design & Architecture: Capacity to design scalable, reliable, and maintainable systems.
  • Behavioral & Cultural Fit: Alignment with Uber's values, including collaboration, ownership, and bias for action.
  • Communication: Clarity and effectiveness in explaining technical concepts and ideas.
  • Impact & Leadership: Potential to drive significant impact and influence technical direction.

Preparation

How to prepare.

Tips

  1. Deep dive into Uber's products and services, understanding their technical underpinnings.
  2. Review fundamental computer science concepts: data structures, algorithms, operating systems, databases.
  3. Practice system design problems, focusing on scalability, reliability, and trade-offs.
  4. Prepare for behavioral questions by reflecting on past experiences using the STAR method (Situation, Task, Action, Result).
  5. Understand distributed systems concepts: consensus, fault tolerance, CAP theorem, microservices.
  6. Familiarize yourself with common cloud technologies and architectures.
  7. Stay updated on industry trends and emerging technologies relevant to Uber's domain.
  8. Prepare thoughtful questions to ask the interviewers about the role, team, and company.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Foundational Computer Science

Weeks 1-2: Data Structures & Algorithms (LeetCode Medium/Hard)

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these in your preferred language and analyze their time and space complexity. Solve LeetCode problems tagged 'Medium' and 'Hard'.

Questions

Commonly asked.

  • Design a system to manage Uber's surge pricing algorithm.
  • How would you build a real-time notification system for driver-rider matching?
  • Describe the architecture of Uber's mapping and routing service.
  • How do you ensure data consistency across multiple distributed databases?
  • What are the challenges in scaling a global ride-sharing platform?
  • How would you design a system to detect and prevent fraudulent activities on the platform?
  • Discuss your experience with A/B testing and its application in product development.
  • How do you approach performance optimization for a high-throughput API?
  • What are the key considerations for building a resilient and fault-tolerant system?
  • How would you design a system to handle millions of concurrent user requests for ride bookings?

Locations

Regional differences.

Fig · Regions — 01 locations

01 / 01

Location

Global

Interview focus

Deep understanding of distributed systems and scalability.Problem-solving skills in complex, real-world scenarios.Ability to think critically about system design and architecture.Strong coding proficiency in at least one major programming language.Understanding of machine learning concepts and their application in Uber's products.Communication and collaboration skills.

Common questions

  • How would you design a system to handle real-time ride requests in a city with millions of users?
  • Describe a complex technical challenge you faced and how you overcame it.
  • How do you approach debugging a distributed system that is experiencing intermittent failures?
  • What are your thoughts on the future of autonomous driving technology and its impact on urban mobility?
  • How would you optimize the performance of a large-scale data processing pipeline?
  • Discuss your experience with cloud computing platforms (AWS, GCP, Azure) and how you've leveraged them for scalable solutions.

Tips

  • For San Francisco: Emphasize experience with high-growth tech environments and a deep understanding of the Bay Area's tech ecosystem.
  • For Seattle: Highlight experience with large-scale cloud infrastructure and data-intensive applications.
  • For New York: Showcase experience with fast-paced, dynamic environments and a focus on user experience.
  • For Amsterdam: Demonstrate understanding of European market nuances and cross-cultural collaboration.
  • For Hyderabad: Focus on strong analytical and problem-solving skills, with an emphasis on efficient coding practices.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

DSA

Coding questions at Uber.

Frequently reported on Uber loops

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Other guides

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