I applied online. I interviewed at Roblox (San Mateo, CA) in Sep 2023
Interview
Roblox gives an OA after you apply for this position. It is a coding assessment on CodeSignal and their own Roblox assessment where you play in their game. In my experience, they focus more on the Roblox assessment instead of CodeSignal. If you pass, you have 2 technical problems to solve. If you pass that, then the final round is behavioral interview.
Interview questions [1]
Question 1
My technical interview involved using PriorityQueues and manipulating strings.
I interviewed twice for this position. I passed the online OAs which included four tests, and was invited to a technical interview online. The first interview was two reasonable LC easy-mediums which had two parts each. However, I could not complete the second part of the second question. When I re-interviewed with them two months later to try again, the question bank got way more difficult, involving LC med-hards. I could not complete the questions the second time around, and I imagine you would have to basically memorize these answers to be able to do them on the interview in an hour each.
First part of the interview was 2 different cognitive assessment, both hosted as Roblox games. First involved trying different combinations of car assemblies to pass different obstacle courses. Second involved optimizing a factory production line.
The second part of the interview takes you through a bunch of different workplace situations, and asks you to assess the least and most effective ways to address them from a list of options.
And finally, you are asked to complete two leetcode like questions on CodeSignal. One was about medium and one was hard.
I applied online. The process took 4 weeks. I interviewed at Roblox
Interview
OA - Roblox games, and regular leetcode style questions
Technical Round - Leetcode style questions. Didnt get pas this because I had an offer elsewhere, but Medium to Hard style questions
Interview questions [1]
Question 1
Optimize Factories - maximize the output while minimizing cost