Candidatei-me online. O processo levou 2 semanas. Fui entrevistado pela Uber (Pittsburgh, PA) em out. de 2016
Entrevista
After the phone screen with the recruiter, I was given a technical screen. This technical screen was unlike anything I have ever encountered. Despite applying for a position specific to AI, I was asked questions on various other Computer Science topics, which has little to no relevance to the job position. This included questions on cybersecurity, networking, databases, and file structure. After this round, I moved forward to project round. I was given a week to work on a project which likely would have taken over 20 hours. At this time, I declined to move forward in the process
Perguntas de entrevista [1]
Pergunta 1
Are you ready for the most intense job of your life?
The interview process started with a recruiter screen where they covered my background and the role's expectations. Next, I had a phone screen focused on technical skills where I faced a DSA question on frequent elements in an array. I had practiced similar problems on prachub.com beforehand, which helped me tackle it effectively. The technical rounds consisted of coding and system design questions, including rate limiting. Finally, I had a behavioral interview where they assessed cultural fit. Overall, the experience was average, but I received and accepted an offer.
Fui entrevistado pela Uber (San Francisco, CA) em abr. de 2026
Entrevista
Recruiter screen then there was a hiring manager round which felt more like a mix of product sense + execution - mostly a mix of OOP algorithms in Python or Java and some high-level system design. The onsite was 5 back to back rounds covering data structures, database management (heavy on SQL and data lifecycles), deep sys design, and behavioral. The sys design round was the real test where I had to walk through building a scalable real-time gaming leaderboard, discussing tradeoffs ofcourse in architecture, APIs, and data flow. The coding rounds was around things like linked lists and tree traversals, while the behavioral part focused heavily on ownership of my code and handling feedback. When you prep, make sure you can go a level deeper on database management and object oriented patterns instead of just grinding LC I’d say. I did grind LC though but ensure you understand the depth behind everything you solve. I also did a few mocks with uber swe on prepfully specifically for the sys design and database rounds and that honestly helped me catch some blind spots in my architecture knowledge and practice explaining my tradeoffs clearly. I’d say get a mock or two from anywhere if you can - helped me a lot!
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