Uber is a global tech conglomerate revolutionizing transportation and logistics across 600+ cities worldwide. Renowned for its impact on the ride-sharing, food delivery, and freight industries, Uber continues to set benchmarks in service delivery and customer experience.
Stepping into the role of a Software Engineer at Uber isn’t just about coding—it’s about significantly impacting millions of users. Your responsibilities will include building and maintaining backend services, creating scalable engineering systems, and collaborating with cross-functional teams. Uber’s coding interviews focus on practical problem-solving rather than textbook scenarios, often reflecting real-world challenges their engineers face. Interviews include multiple rounds of coding challenges, technical evaluations, and behavioral questions. Some candidates have found certain aspects of the process time-consuming, but many highlight the professionalism and thorough feedback from interviewers.
If you’re looking for an opportunity with Uber, this guide will take you through the comprehensive interview process, commonly asked Uber software engineer interview questions, and tips to help you prepare. Let’s get started!
If your application is shortlisted, a recruiter from Uber’s Talent Acquisition team will reach out to discuss your experiences and skill set. This is a general conversation about your background and how it pertains to the role. The recruiter will also gauge your interest in Uber and assess your understanding of the company’s mission and values. Expect some behavioral questions during this call.
This call typically lasts about 30 minutes.
Once you clear the recruiter screening, you will advance to the technical and behavioral screening interviews. Here is how they are structured:
Technical Phone Screen
Coding Phone Screen: You will have a coding interview over the phone, which includes one coding problem. This problem will be shared with you in a collaborative environment where you must write and debug code while discussing your approach with the interviewer. The problems are often similar to medium-level questions on platforms like LeetCode.
Platform: The interview may involve specific queries related to Uber’s systems but generally revolves around practical problems rather than textbook scenarios.
Virtual Interviews (2 Rounds)
2 Technical Rounds: Each technical round solves coding problems within one hour. These are hands-on coding sessions where you may need to implement and optimize solutions while discussing them with your interviewer.
Behavioral Round: A behavioral interview to understand your experience, problem-solving approach, and how well you fit within Uber’s culture. Be prepared to discuss your past projects and use the STAR (Situation, Task, Action, Result) method to frame your answers.
You will be invited to onsite interviews if you succeed in the virtual interviews. This is often a full-day event involving multiple rounds:
Take-Home Project Review: You’ll start by presenting and reviewing any assigned take-home project, typically done with the entire team.
Individual Interviews: These include 5-6 rounds of individual interviews that rotate between technical and behavioral questions. Expect challenges that involve coding, pseudo code, and problem-solving scenarios relevant to Uber’s operations.
Coding Challenges: One example is finding “islands” in a matrix of 0s and 1s, which tests your algorithmic thinking.
Role-Specific Functional Assessment: Depending on the role, this could include a range of tasks like developing an Android app in Android Studio or solving specific technical problems.
The final step is a comprehensive interview with the hiring manager. This call will further explore your experience and skills, aligning expectations about the role and responsibilities. You can also ask detailed questions about the team and day-to-day tasks.
After completing all interview rounds, the hiring manager and recruiter will review your performance against the job criteria. The recruiter will then reach out to inform you about the final decision.
Most interviewees rate Uber’s software interview somewhere between medium and hard, but if you’ve done your homework and prepared carefully, you won’t need to worry. Below are the interview stages you can expect.
A car starts driving at 60 mph, and one hour later, another car leaves the same position going 80 mph. Calculate the time it will take for the second car to catch up to the first.
Your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM finds a p-value of 0.04. Evaluate the validity of this result.
As a data scientist in a ride-sharing marketplace, identify the metrics to determine ride demand at any point and those indicating high demand and low supply. How would you set the threshold for excessive demand?
You are working on the Uber app. Design an incentive scheme to encourage drivers to move into city areas where demand is high.
As a data scientist at DoorDash, develop a model to predict which merchants the company should target for acquisition when entering a new market.
Given the tables users
and rides
, write a query to report the distance traveled by each user in descending order.
dice_rolls
to simulate a dice roll using a continuous random generator.You are given a function that generates a floating-point number between 0
and 1
from a continuous uniform distribution. Write a function dice_rolls
that takes the continuous random generator and simulates a dice roll (return a number between 1
and 6
, with all numbers having a uniform distribution).
Given the employees
and departments
tables, select the top 3 departments with at least ten employees and rank them according to the percentage of their employees making over 100K in salary.
Given the transactions
table, write a query that finds the third purchase of every user. Sort the results by the user_id
in ascending order. If a user purchases two products at the same time, the lower id
field is used to determine which is the first purchase.
Every night between 7 pm and midnight, two computing jobs from two different sources are randomly started with each one lasting an hour. Write a function to simulate this problem and output an estimated annual cost of the downtime caused by overlapping jobs.
You have a categorical variable with thousands of distinct values. Describe the method you would use to encode this variable for use in a machine learning model.
List and explain the key assumptions that must be met for linear regression to produce valid results.
You need to build a model to predict if an Uber driver will accept a ride request. What algorithm would you choose, and what are the tradeoffs between different classifiers? Additionally, what features would you consider using?
As a data scientist at DoorDash, describe the approach you would take to build a model that predicts which merchants the company should target for acquisition when entering a new market.
Explain the advantages of dynamic pricing. Additionally, describe how you would estimate supply and demand in this context.
Explain the concept of a p-value in simple terms to someone without a technical background.
Define Maximum Likelihood Estimation (MLE) and Maximum A Posteriori (MAP) and explain the key differences between them.
Discuss the advantages of dynamic pricing and describe methods to estimate supply and demand in a dynamic pricing model.
Given 90 days of ride data, outline how you would project the lifetime and lifetime value of a new driver on the system.
Describe the process to determine the average number of rolls needed to reach a state where a die has the same number on all six faces, starting from a fair 6-sided die.
This question tests your ability to work with self-joins, handle duplicate records, and manage sorting and filtering conditions in SQL. It evaluates your creativity in tackling a problem that involves comparing pairs of rows from the same table.
This question tests your ability to perform nested queries, use SQL aggregation functions, and join results from multiple subqueries. It evaluates your understanding of calculating averages and handling time differences within SQL.
Here are some tips to help you prepare better for your Uber Software Engineer interview:
Research the software engineer role at Uber you’re applying for. Understand the key responsibilities and skills required; you can connect with current employees through LinkedIn for a better understanding.
Explore the specific role at Uber through our Learning Paths to gain a comprehensive understanding of how your skills align with the requirements of this position.
Visit Uber’s Careers page for tips on preparing for the engineer interview.
Research Uber’s various products and think about how you can contribute to their mission. Knowing their customer support platform, for example, can give you an edge.
Revisit algorithms (graphs, trees, and sorts), data structures, system design principles, and coding techniques. Practice writing efficient, clean, and well-documented code. Depending on the role, you may expect questions on database management and API design as well.
You can practice some cool engineering projects to bolster your resume.
Gain a deep understanding of Uber’s products, market challenges, and technology stack. Consider how your role might impact the business and think of ways you could contribute to solving real-world problems Uber faces.
Prepare for behavioral questions using the STAR method. Reflect on your past experiences and practice articulating them in a concise, impactful manner.
Visit our Interview Questions section to familiarize yourself with behavioral questions. It offers a wide range of practice questions to help structure your responses effectively using the STAR method.
To test your current preparedness for the interview process and improve your communication skills, try a mock interview.
Focus on medium and hard-level coding problems on platforms like LeetCode. Questions in the interview often resemble these, particularly those tagged ‘Uber’.
The process can be time-consuming, so communicate timelines clearly, especially if you have other offers. Practice coding under time constraints to simulate real interview conditions.
Prepare thoughtful questions to ask your interviewers about Uber’s work culture, challenges, and expectations. This shows your interest and eagerness to engage with the company’s ethos and future goals.
Average Base Salary
Average Total Compensation
The average base salary for a software engineer at Uber is $143,702, making the remuneration competitive for prospective applicants.
For more insights into the salary range of software engineers at various companies, check out our comprehensive Software Engineer Salary Guide.
Uber promotes a collaborative and supportive work environment aimed at driving impact and meaningful improvements. Engineers work with motivated teammates, engage in fun problem-solving, and build reliable systems at scale. The company provides opportunities to tackle challenging problems and supports continuous learning and development.
At Uber, team culture emphasizes empathy, collaboration, and high performance. Teams are customer-obsessed and hold a high bar for code quality and platform reliability. The work environment is fast-paced, and there’s a strong focus on delivering high-impact products that are measurable and trackable.
Uber offers comprehensive benefits, including various health and wellness programs, and maintains an equal opportunity employment policy accommodating all qualified applicants.
Check out our discussion board, where Interview Query members talk about their experiences. You can use the search bar and filter for software engineering posts.
We have software engineer jobs listed at Uber, which you can apply for directly through our job portal. You can also filter by location, company, and position to see similar roles relevant to your career goals and skill set.
Succeeding in Uber software engineer interview questions requires solid technical skills and the ability to demonstrate your collaborative and critical thinking talents.
If you’re considering opportunities at other tech companies, check out our Company Interview Guides. We cover a range of companies, including Google, IBM, Apple, and more.
For other data-related roles at Uber, consider exploring our guides for Business Analyst, Engineer, Scientist, and Data Analyst positions in our main Uber interview guide.
The key to your success is understanding Uber’s culture of innovation and collaboration and thoroughly preparing with both technical and behavioral questions.
Check out more of Interview Query’s content, and we hope you’ll land your dream role at Uber very soon!