Work/Life Balance
Fun events!
Provides interns with meaningful tasks.
Great mentoring; I really felt like a part of the team.
Lots of archaic legacy code.
Management bloat.
Intuit is a wonderful company!
It has the downsides of a standard business (management bloat, too much legacy spaghetti code nobody refactored), but all together has an amazing engineering culture with great CI, dev tools, and work/life balance.
I loved my team, and there were always fun events to take part in with coworkers.
San Diego is a beautiful city, but Intuit is the biggest dog in town so there isn't really any place "up" to go, unless you consider moving.
The interview process involved a very quick first interview followed by a second technical interview. The technical interview was straightforward and easy to follow, with a proctor present. The full technical interview lasted about 45 minutes. The ti
I applied on the corporate website. A couple of months went by, and I was eventually contacted by one of their corporate recruiters. She wanted to discuss a different position (QA), which I was not interested in. She was kind enough to hear what I *w
I had a technical interview before the actual onsite interview. Coding (45 minutes): I was asked to design balanced parentheses, which I was able to solve. AI (30 minutes): The discussion covered general AI questions, examples of native AI products
The interview process involved a very quick first interview followed by a second technical interview. The technical interview was straightforward and easy to follow, with a proctor present. The full technical interview lasted about 45 minutes. The ti
I applied on the corporate website. A couple of months went by, and I was eventually contacted by one of their corporate recruiters. She wanted to discuss a different position (QA), which I was not interested in. She was kind enough to hear what I *w
I had a technical interview before the actual onsite interview. Coding (45 minutes): I was asked to design balanced parentheses, which I was able to solve. AI (30 minutes): The discussion covered general AI questions, examples of native AI products