Hardware Reliability Engineer - Wearables
Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Jul 30, 2026.
Apple is a place where extraordinary people gather to do their best work. Just be ready to dream big.
The people here at Apple don’t just build products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Apple’s Hardware Reliability Engineering team is looking for you to work with our diverse hardware engineering teams. As the Reliability team, we are responsible for ensuring and improving the durability and reliability of Apple's products. To achieve that, we partner with multiple engineering teams from the beginning (concept) to the end (field returns) of a product lifecycle, while exploring new technologies and understanding how customers will use our products.
If you have a passion for constant learning and innovative engineering products, you will fit right in.
Description
You will help develop and implement creative reliability tests on new hardware programs, quantify reliability risk, support failure analysis resulting from these tests, and advise the executive team on the best path forward.
Minimum Qualifications
Bachelor’s Degree in technical field (mechanical engineering, materials engineering, electrical engineering, physics or related fields etc.).
Excellent written and verbal English and Chinese communication skills.
Ability to make clear and concise slides and presentations through keynote, excel, etc.
Preferred Qualifications
M.S. or PhD in Mechanical Engineering, Materials Science, Physics or an equivalent field.
Experience performing reliability testing including Mechanical Stress Tests, Shock/Drop/Vibration Testing, Environmental Testing.
Statistical experience such as Weibull, JMP, or familiarity with accelerated test models.
Solid understanding of Design of Experiments (DOE) and Failure Modes and Effects Analysis (FMEA), with an imaginative approach to identifying unique failure mechanisms.
Familiar with Failure Analysis techniques (Optical Microscopy, X-ray/CT, Scanning Electron Microscopy/Energy Dispersive Spectroscopy, etc.), and the ability to use failure analysis methodology to derive root causes of failure.
Dynamic engineer with a proactive, "can-do" attitude who thrives in ambiguity, solves problems creatively, and collaborates effectively with cross-functional teams.
Capable of handling multiple projects at once with strong attention to detail and a curiosity for how technologies work.
Experience with AI, Vibe coding, programming or scripting is a plus.