Uber Coding & Algorithms interview questions center on practical problem solving at scale: expect timed coding exercises that mirror real engineering tasks rather than brainteasers. Interviews often use an online assessment (CodeSignal) and live 30–45 minute coding sessions on a whiteboard or shared editor, followed by deeper loop interviews for onsite or virtual rounds. What’s distinctive is the emphasis on clear, production-minded solutions that consider runtime and memory, edge cases, and how an approach would behave under Uber’s low-latency, geo-distributed constraints. For interview preparation, focus on algorithmic patterns (arrays, strings, trees, graphs, dynamic programming, hashing, sliding windows, and heaps) and on communicating trade-offs, complexity, and correctness as you code. Practice timed problems, run mock interviews, and rehearse explaining design choices and optimizations aloud. Senior candidates should also be ready to connect coding choices to system-level concerns like scaling and reliability. Good preparation shows up as concise planning, clean code, thoughtful test cases, and calm recovery from mistakes.