Baidu.

Chinese lacks word boundaries (no spaces between words), uses logographic characters with complex composition, and has different grammatical structures. Understanding Chinese word segmentation, character encoding challenges, and how these affect search and NLP systems shows awareness of the unique technical challenges Baidu faces in serving Chinese language users.

Apollo is Baidu's autonomous driving platform, one of the largest self driving programs globally. It includes perception, planning, and control systems, plus a simulation platform. For Apollo roles, prepare for questions about sensor fusion, motion planning, and safety critical software. Understanding Apollo's open platform approach differentiates you from candidates focused only on search.

Baidu interviews typically blend both behavioral and technical elements. Most loops include at least one behavioral round focusing on past experiences and one technical round assessing domain skills. The exact split depends on the role, team, and seniority level.

Research Baidu thoroughly, practice common interview questions for your role, prepare 3 to 5 stories using the STAR method, and prepare thoughtful questions to ask the interviewer. Using a tool like Orbyt can generate tailored questions specific to Baidu and your role.

Baidu interviews include a mix of behavioral questions (using the STAR method), technical or domain specific questions, and situational problem solving. The exact mix depends on the department and seniority level of the role.

Strong Baidu candidates demonstrate both technical competence and alignment with company values. Prepare concrete examples of past impact, show curiosity about the team's challenges, and ask thoughtful questions that reveal your understanding of the role and company direction.

Most Baidu roles involve 3 to 5 interview rounds. This usually includes a recruiter call, a phone or video technical screen, and 2 to 3 on site or virtual loop interviews with the hiring team.