Uber Coding Interview Guide
Uber runs a standard tech-company loop with a practical, systems-flavored emphasis. A typical path is a recruiter screen, an online assessment or technical phone screen, and an onsite loop of four to six interviews covering coding, system design (weighted more heavily at senior levels), and behavioral questions. Because Uber’s business is built on real-time, large-scale services (maps, matching, pricing, dispatch), interviewers often favor problems that connect to practical engineering rather than pure puzzles.
Difficulty and emphasis vary by team and level, but the coding bar is solid and the design bar rises quickly with seniority.
Topics Uber Commonly Emphasizes#
Coding rounds draw from the usual fundamentals, with a lean toward graphs and intervals:
- Arrays, strings, and hash maps
- Graphs (BFS, DFS, shortest paths) given the routing and mapping domain
- Trees and recursion
- Heaps and priority queues
- Intervals and scheduling
- Dynamic programming
- Binary search and sorting
Keep the Big-O cheat sheet handy so you can weigh scalability out loud, which matters for a company operating at real-time scale.
Representative Problem Types to Practice#
Drill these categories, not leaked questions:
- Graph shortest-path and reachability problems
- Interval merging, scheduling, and calendar-style problems
- Heap-based “top K” and streaming problems
- Sliding-window problems on arrays and strings
- Matrix and grid traversal (BFS or DFS)
- Rate-limiter or in-memory store design questions
- Dynamic programming on sequences
- Concurrency and request-handling reasoning for backend roles
How to Prepare#
Because Uber leans on graphs and practical design, make sure your fundamentals are airtight first. Work through the 60-day curriculum, then focus on the core interview patterns, giving extra attention to graph traversal, heaps, and intervals.
For a structured full-loop rehearsal, follow the FAANG interview prep plan, and compare company formats in the interview prep hub.