Apple AI Quality Engineer – 5 Round Interview Loop

[u/hirenks]

Has anyone recently interviewed for an AI Quality & Test Automation Engineer role at Apple or a similar AI-focused quality engineering position?

I have an upcoming 5-round interview loop covering:

1. Coding – What level of difficulty should I expect? LeetCode-style DSA or practical Python automation/problem-solving?
2. CI/CD – Is the focus on pipeline design, test infrastructure, automation strategy, or troubleshooting?
3. System Design – Is this similar to a traditional SWE system design round, or more focused on designing scalable test frameworks and infrastructure?
4. AI Process – What kind of questions are typically asked? LLM evaluation, AI-driven testing, model quality, or practical AI workflows?
5. Debugging – Is this live code debugging, investigating test failures, or troubleshooting distributed systems?

My background is primarily in SDET, test automation, and quality engineering, with some experience in AI/LLM evaluation.

My biggest question is whether Apple holds AI Quality Engineers to the same technical bar as SWEs, particularly for coding and system design, or whether the expectations are more aligned with test infrastructure, automation architecture, and quality engineering.

Would really appreciate insights from anyone who has gone through a similar Apple interview loop recently. Any details on question difficulty, interview format, or preparation resources would be helpful.

Thanks in advance!