Qualcomm Machine Learning Software Engineer interview questions

I got the interview through a referral from a friend working in the Markham office. My interview consisted of three rounds - the first was an online interview through an online coding IDE where I was expected to resolve some basic problems in front of some experienced engineers. This took about an hour. The second round was a sort of rotating interview where we discussed everything from how I think about designing applications, to how I'd solve some more advanced problems. A big emphasis was placed on the ability to optimize a solution to a problem once a baseline was created. An online coding IDE was used one again when it came time for me to write some code. This took about 3 hours. The final round was a conversation I had with a member of Qualcomm's HR team to go over some HR/behavioral questions. What really helped me prepare and be successful here, in my opinion, was the fact that I had been reviewing Amazon's leadership principals for some time by then. Being able to respond well to questions concerning Amazon's leadership principals is a great way for an engineer to prepare for any behavioral interview IMO, ---- The interview process was really great. I felt like nothing that was too out of the ordinary was asked of me. Everyone I spoke to was kind and respectful. Although a week after I completed the last round, I received a notification that the position had been put on hold. Especially after having spent a little more than a month dedicating myself to the process, I was and still am extremely disappointed that things couldn't proceed more positively. However, given that we are in a pandemic presently, and with many things in flux, the decision to freeze hiring was understandable. It was just very poor timing I imagine for the fact that the hiring freeze was set at the end of my completion of all interview rounds.

Applied on the website, 30 minutes phone interview followed by a fullday onsite in Toronto. the questions are relatively easy, the hardest question is a depth first search. The team there seems to work on the state of the art, and the project sounds pretty interesting