Intern applicants have rated the interview process at TuSimple with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 64.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Intern roles take an average of 16 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at TuSimple overall takes an average of 25 days.
Common stages of the interview process at TuSimple as a Intern according to 4 Glassdoor interviews include:
One on one interview: 40%
Presentation: 20%
Skills test: 20%
Other: 20%
Here are the most commonly searched roles for interview reports -
There is much debate by industry professionals on the best ways to improve the interview process. And by improve, we mean attract and make better hires. One theory is that harder job interviews actually lead to better job matches - but is this true? It turns out, yes. Candidates who go through a rigorous interview process often find that the company places a high value on finding employees who are a good match for both the position and the company culture.
I applied online. The process took 4 weeks. I interviewed at TuSimple (Los Angeles, CA) in Dec 2021
Interview
OA, Code interview, Research interview, Behavior interview. The whole process takes about 1.5 months. Receive OA 30mins after submitting a CV. Code review contains 1 problem. Behavior interview is all about previous experience.
I applied online. The process took 2 days. I interviewed at TuSimple in Sep 2020
Interview
online interview. Mainly talk about our research experience and projects.
The interviewer is professional and nice. I was stuck in a few questions, and the interviewer game sone clues. Overall, the interview went well and I asks a few questions in the end. Less than one hour.
Interview questions [1]
Question 1
1. two questions asking about my research projects, the purpose/design/contributions
2. two basic questions about DL optimizations, the loss functions, the MAC operations