Stability Quality Engineer
Summary
Do you want to make a positive impact on the direction of new, key technologies in consumer products?
We're seeking a creative and motivated Stability Quality Engineer to join our Systems Quality team, working to ensure world-changing products are delivered at a high-quality to all our customers! You'll be involved from the early stages of a project and will play a meaningful role in the way we make decisions of releasing Apple products to customers.
Come join our team!
Description
You'll be responsible for planning, writing/developing, and running system stability tests with an emphasis on hardware-centric software risks and writing and running automation simultaneously on a large number of systems. You will be at the nexus of hardware and software where you work cross-functionally with several engineering and QA teams to identify risk areas and testing responses, and to support engineering investigations. You should have a good instinct for discovering low-level defects in software and hardware.
Responsibilities
- Manage a rack of systems running a variety of tests and engineering experiments
- Identify, reproduce, and isolate bugs found via debugging and performance analysis tools
- Report issues in accordance with Apple bug reporting methods and testing guidelines
- Provide training on a regular basis and mentor others as needed on particular skill areas
- Designing and writing on-the-fly automated stress and stability hardware-centric software tests for embedded systems
Minimum Qualifications
- Bachelor's degree in EE, CS, CE, or equivalent degree
- 3+ years of experience in HW/SW test engineering
- In-depth knowledge of processor instruction set architecture and microarchitecture
- Strong knowledge of Unix and Unix shell scripting
- Experience running, monitoring and troubleshooting low-level and user-level UI automation in scripting languages such as Python, Ruby, Swift or Javascript
- Experience presenting data to executives
- Strong communication and written skills
- Thrive in a collaborative environment and comfortable working with multi-functional teams
- Laser-focused on the smallest details that are meaningful to our customers
- Ability to solve hardware systems to component level and perform root-cause analysis
Preferred Qualifications
- Master's or PHD in EE, CS, CE, or equivalent degree
- Experience working in factory processes such as burn-in qualification
- Experience developing, and maintaining Python scripts
- Experience with relevant ML frameworks (PyTorch, TensorFlow, or JAX)
- Academic background in data science, machine learning, computer vision, and statistical data analysis
- Experience in data analysis and developing data visualizations & reporting with tools such as Tableau or Superset
- Experience applying ML to anomaly detection, predictive maintenance, or test optimization
Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.