Systems Quality Stability Engineer
Santa Clara Valley (Cupertino), California, United States
Hardware
Do you want make a positive impact on the direction of new, key technologies in consumer products? We are seeking a creative and motivated System Stability Quality Engineer to join a Systems Quality team working to ensure world-changing products are delivered at a high-quality to all our customers.
Quality is a meaningful aspect of our products, and as a System Stability QA Engineer you will have a significant impact on helping to deliver functional and stable products to millions of customers in a rapidly changing environment. You will bring your upbeat personality with excellent communication and interpersonal skills, attention to detail, and real passion for a positive user experience.
Key Qualifications
- Experience with hardware and/or software development lifecycle processes.
- 3+ years of QA or System Test experience, preferably on consumer hardware/software products.
- Automation experience in modern scripting or compiled languages (Python, JavaScript, Ruby, Objective-C, Swift, C++, etc.)
- Knowledge of Unix and Unix shell scripting.
- Ability to communicate technical concepts to a non-technical audience.
- Deep understanding of SQA methodologies & practices.
- Ability to solve hard problems with creative and sustainable solutions.
- Be detail oriented and strive for the best product for our customers.
Description
- Define, implement, and execute automation tests focused on system level hardware and software interaction that are important for a stable customer experience.
- Develop and maintain clean test automation frameworks and test cases to be run at large scale across automation racks.
- Isolate and report defects effectively quantifying customer impact, and verify fixes through regression testing and other test methodologies.
- Work cross-functionally with other QA teams, Developers and Project Managers.
- Be a vocal proponent for quality internally and externally.
Education & Experience
BS ME, EE, CE, CS, or equivalent engineering degree
Additional Requirements
- Nice to have:
- - Experience developing and executing testing using computer vision and/or machine learning.
- - Experience developing scalable and maintainable automation infrastructure.
- - Experience with data analysis tools (MATLAB, LabVIEW or similar)
- - In-depth understanding of iOS and OS X.