Glassdoor users rated their interview experience at ABB as 100% positive with a difficulty rating score of 2 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for Business Strategy & Portfolio Analyst and rated their interviews as the hardest, whereas interviews for Business Strategy & Portfolio Analyst and roles were rated as the easiest.
The hiring process at ABB takes an average of 14 days when considering 1 user submitted interviews across all job titles. Candidates applying for Business Strategy & Portfolio Analyst had the quickest hiring process (on average 14 days), whereas Business Strategy & Portfolio Analyst roles had the slowest hiring process (on average 14 days).
Interview in ABB corporate research is mostly around your past research work. There are multiple rounds with few researchers have in the Lab. There is also a presentation round in which you have to present in front of researchers.
Interview questions [1]
Question 1
Questions are related to your background. It involves understanding deeply what you worked on how you approached the solution to assess your understanding of the subject.
I applied through college or university. I interviewed at ABB
Interview
Normal interview for engineering. They asked me questions about myself. Sometimes there were long silences once i was done speaking and the interviewer was taking notes. just do well prepared for normal interview questions
I applied online. The process took 1 week. I interviewed at ABB (Bengaluru) in Oct 2021
Interview
1. Technical Interview with huge experience peoples
Interview taken by 3 peoples, they were asking me about my project experience and core knowledge.
Also they are testing my programming skills, but they do want a profile with an experience of cloud computing in IoT and I am pretty new in that skill.
2. Programming test
3. HR Round
Interview questions [1]
Question 1
1. Amazon web services or any other cloud computing exp?
2. Explain the entire project you have worked before
3. Azure pipe line explain
4. Machine learning explanation