Systems Algorithms Quality Engineer

Santa Clara Valley (Cupertino), California, United States
Hardware

Summary

Posted: Nov 30, 2018
Weekly Hours: 40
Role Number: 200016913
Do you want make a positive impact on the direction of new, key technologies in consumer products? We're seeking a creative and motivated System Algorithms 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 an important aspect of our products, and as a System Algorithms 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.
  • 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.
  • 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 manual and automation testing representative of likely customer use cases for new system features based on machine learning algorithms. - Define, implement, and execute manual and automation testing supporting for internal and development tools for machine learning annotation and training. - 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 machine learning.
  • - System Test experience, preferably on consumer hardware/software products.
  • - Experience developing scalable and maintainable automation infrastructure.
  • - Experience with data analysis tools (MATLAB, LabVIEW or similar)
  • - In-depth understanding of iOS and OS X.