Apple · Cupertino, CA
Hardware Test Engineering Intern
Validation rather than design: automated regression on product boards, bus-level debugging, and failure analysis on units that came back from the field. The posting names reliability methodology as an interest rather than a requirement, which in practice means the interview will ask you to justify a test plan, not just execute one.
What this interview will test
Read from the posting itself, against the topics hardware interviewers actually probe. The terms beside each topic are the ones that appear in the posting.
- PCB Bring-Up & Debug→
debug · failure analysis
Taking a new board from bare to working, and diagnosing it when it is not.
- Validation & Reliability→
validation · reliability · environmental
Proving a design works, and keeps working.
- Circuit Fundamentals→
electrical engineering
DC and AC circuit analysis, the reasoning every other topic rests on.
- Communication Protocols→
spi · i2c
The buses that connect parts, and how they fail.
Ranked by the terms above, matched against the topic taxonomy. This is the free reading of the posting. The curriculum you get inside weights these against each other from the full text and shows the sentence behind every weight.
A question this role would ask
From the topic this posting signals most strongly. Try it before you open the answer — that is the whole loop, and this is what the generated bank looks like.
A product board passes every bench test but comes back from the field with a 2% failure rate after roughly six months. Failures cluster in units sold in Arizona and Nevada. You have two weeks of chamber time and one engineer.
How do you spend that chamber time? Defend the test you would run first over the alternatives you are giving up.
What a strong answer covers
The geographic clustering is the whole signal: high ambient temperature, high thermal cycling range, low humidity. Six months to failure with a clean bench result says this is a wear-out or cumulative-stress mechanism, not a defect the bench would ever catch, so the first move is to establish which stress accelerates it rather than to reproduce the field condition literally. Two weeks buys an accelerated thermal cycling run at elevated ambient — an Arrhenius or Coffin-Manson estimate turns six field months into a few days of cycles, and running a small population to failure gives a mechanism instead of a pass/fail. The alternatives worth naming and rejecting: a straight high-temperature soak, which tests the wrong thing if the mechanism is cycling-driven solder fatigue rather than temperature-driven degradation; and running the full qualification suite again, which reproduces the bench pass you already have. The deliverable from the two weeks is a failed unit for teardown, not a report saying the boards passed.
- Uses the clustering — Treats the geographic pattern as the primary evidence and translates it into a specific stress, rather than testing broadly.
- Accelerates deliberately — Invokes an acceleration model to justify why days of chamber time can stand in for months of field exposure.
- Distinguishes cycling from soak — Separates thermal cycling fatigue from steady-state high-temperature degradation, and picks based on time-to-failure behaviour.
- Defends the discard — Says explicitly what is being given up and why it would have produced less information.
- Aims at a mechanism — Targets a failed unit to tear down, not a pass — recognizes that a passing accelerated test would have wasted the two weeks.
See the finished track for this exact posting
Not a sample of someone else’s role — the complete curriculum built from the posting above: every domain weighted, every weight traced back to the line that caused it, and the question loop running. No account needed.