Huawei Technologies AI Research Scientist Interview Guide

Reports for Huawei's AI Research Scientist role center on how well you can explain your own work. Interviewers asked candidates to walk through their CV and past projects, justify technical choices in their research, and describe the biggest research problem they had solved. One candidate was asked how large models such as LLMs or VLMs could help in their research area, even though it was not their focus. Another was asked about recent papers in the field and how those approaches connected to the research they wanted to pursue.

Coding is inconsistent. One candidate wrote matrix multiplication and stated its time complexity, and another described a Python and PyTorch coding interview grounded in practical implementation rather than abstract algorithm puzzles. Another reported no coding at all, just research conversation with the team lead and a team member. The candidate who accepted an offer described motivation and working-style conversations rather than technical exercises. It is worth asking the recruiter what format to expect.

Several reports describe roughly three stages: an HR or introductory conversation, a technical conversation with a team lead, manager or technical director, and a final management, director or HR discussion. One candidate who accepted an offer finished in about two weeks. Another saw gaps of weeks or months between rounds and had interviews scheduled with a day or two of notice. Keep a concise summary of your research ready, and follow up if things go quiet.

Prepare a specific answer for why Huawei, including what you know about its core values. Have examples of working under time pressure and handling a weakness constructively, along with concrete short- and long-term goals for what you want to build.