Apple

• Reasonable work-life balance.
• Great campus.
• Cool products.

I can only speak for my team and org, but overall, if you are relatively young, want to grow fast, and want to keep learning new things, do not come to Apple.

• Yes, Apple's products are cool, but that is mostly the designer/UX/product side, not necessarily your day-to-day engineering work.
• It is politics-heavy. Each team owns a very small slice of the cake, so managers spend a lot of time figuring out how to impress their own managers. Some great managers still try to do the right thing, but many projects feel more optimized for visibility than real impact.
• Not all teams are valuable or exciting. A lot of teams are mostly maintaining old code that has been around for decades. Promotion is really slow. Trust me, it does not only depend on how hard you work. Since each slice of the cake is small, it is rare to work on something truly impactful.
• Internal efficiency is low. People often talk about Apple having bad WLB, but a big reason is that there are no common tools, very little documentation, and everyone has their own workflow. You end up asking around constantly and doing a lot of extra work that should not be necessary.
• In the AI era, the company's efficiency is heavily limited by its org structure. Maybe you can vibe-code a project in two hours, but then spend two weeks getting it reviewed.
• Many internal projects have strong DRI culture, which can turn PR review into a one-person taste check. Whether your code gets accepted often depends on that DRI's personal preference, so you end up changing things back and forth for no real reason.
• Upper management keeps telling everyone to use AI, but nobody is solving the actual structural problems. Managers are busy responding to leadership's AI push, organizing people to write skills and use AI, but it often feels very blind. People spend engineering effort, but a lot of the output is low-quality junk. There is not enough real thinking about how the org structure should change in the AI era.

If you are a passionate engineer and want ownership, fast growth, and real impact, avoid.

• They really care about employees' needs.
• They take it seriously for the high internal communication friction.
• They think hard and take the whole picture into consideration regarding how to incorporate AI into the existing top-down management model.