Uber's interview process for software engineers starts with resume screening, where candidates need to showcase relevant skills and experiences. Following this, selected candidates may be invited to complete an Online Assessment (OA) focusing on coding and problem-solving skills.
After passing the OA, candidates generally undergo one or two phone interviews before being invited onsite. The onsite rounds typically include multiple interviews covering coding, system design, and behavioral questions. The questions range from medium to hard in difficulty, testing not only technical capabilities but also problem-solving and communication skills.
Uber’s initial screening process begins with a review of your resume focused on your technical skills and relevant project experiences. According to internal reports, they prioritize clarity and specific contributions in previous roles.
Following the resume review, candidates may be invited to complete an Online Assessment (OA). This typically involves coding tests and sometimes system design problems, depending on the role applied for. The pass rate for this round is around 60%.
At Uber, the software engineering interview process typically begins with one or two phone screens. These preliminary calls are aimed at assessing the candidate's technical skills through coding exercises and algorithm questions delivered via a shared coding platform.
Expect these phone screens to last about 45 minutes each, where you'll be asked to solve real-time coding problems. This phase is crucial for moving forward in the interview process, so preparation is key. Familiarize yourself with common data structures and algorithms to excel.
Uber's onsite interview process typically consists of three to five rounds focusing on coding, system design, and behavioral skills. Each session is designed to assess problem-solving abilities and cultural fit, tailored to ensure that candidates can handle real-world scenarios effectively.
Interviews are conducted face-to-fact, often incorporating whiteboard coding and interactive design exercises. Candidates will encounter at least one coding challenge, a system design task, and a behavioral interview to explore their teamwork and communication skills.
After completing the interview rounds at Uber, candidates may undergo a final meeting with executives, offer negotiation, and team matching to ensure a fit that benefits both the engineer and the company.
Uber has a difficulty interivew an it's essential to be well-versed in Two Pointers, Breadth-First Search, and Dynamic Programming, as these areas frequently dominate their coding problems. Unlike other companies, Uber places a significant emphasis on Backtracking and Binary Search, making them more prominent than in typical coding interviews. Mastering a diverse array of problem-solving strategies, including the less common ones, will be crucial for success.
At Uber, the coding interview problems generally sit at a challenging level and sometimes more intricate than those faced at Google or Meta. The overall difficulty is demanding yet aligns closely with the standard of most FAANG companies, perhaps even much harder than Amazon.
Tell me about a time when you worked with a team to solve a difficult problem.
Describe a situation where you had to quickly learn a new technology to complete a project.
Give an example of a time when you had to handle multiple responsibilities simultaneously.
Describe a time when you had to collaborate with a team on a project that failed or did not meet expectations. What was your role, and how did you handle the situation?
Tell me about a successful project you worked on. What was your contribution, and how did you ensure effective collaboration among your team members?
Uber prides itself on innovation. Can you share an experience where you had to work in a team to innovate a process or product?
Describe a challenging software development project you worked on. What were the major obstacles, and how did you overcome them?
Can you give an example of a time when you had to learn a new technology to complete a project? How did you approach this challenge?
Uber values high-performance software. Can you discuss an experience where you improved the efficiency or performance of a system?