Address
Form of workSummary
We are looking for an experienced and versatile QA Engineer to ensure that we deliver the best in-class machine learning solution for all Apple products. You will be passionate about testing the firmware/driver, developing automation frameworks and tools for validating core components that are part of the Apple Neural Engine. You will work closely with software development team to build and implement test plans focused on qualifying firmware and drivers to ensure we ship a quality product. You must be comfortable working in a dynamic environment and possess a strong interest in learning new technologies. You should have a history of working on successful, large-volume consumer products.
Key Qualifications
3+ years professional experience in test automation and tool development, preferably for embedded systems
Proficient in Python and shell scripting
Motivated and Passionate about SW QA testing
Experience with developing system and feature level test plans and test cases
Experience with software development life cycle, testing methodologies and processes
Strong written and verbal communication skills
Bonus: Familiarity with Objective-C/Swift, Xctest and XCode IDE Bonus: Familiarity with Jenkins
Description
You will be responsible for creating test cases and implementing test plans related to functionality, performance, power, and stability of the Apple Neural Engine. You will also be responsible for developing and maintaining automation frameworks, and developing new automation test cases. You should be able to describe and clearly document test plan/procedure/test results and assess the quality of releases. You will use continuous integration environments/tools and CI standard methodologies to improve test coverage. You will partner with development teams and multi-functional QA teams to triage, diagnose, debug issues and derive root-cause. You will positively influence the team on testability and bug prevention strategies.
Education & Experience
BS and a minimum of 3 years relevant industry experience
We are looking for an experienced and versatile QA Engineer to ensure that we deliver the best in-class machine learning solution for all Apple products. You will be passionate about testing the firmware/driver, developing automation frameworks and tools for validating core components that are part of the Apple Neural Engine. You will work closely with software development team to build and implement test plans focused on qualifying firmware and drivers to ensure we ship a quality product. You must be comfortable working in a dynamic environment and possess a strong interest in learning new technologies. You should have a history of working on successful, large-volume consumer products.
Key Qualifications
3+ years professional experience in test automation and tool development, preferably for embedded systems
Proficient in Python and shell scripting
Motivated and Passionate about SW QA testing
Experience with developing system and feature level test plans and test cases
Experience with software development life cycle, testing methodologies and processes
Strong written and verbal communication skills
Bonus: Familiarity with Objective-C/Swift, Xctest and XCode IDE Bonus: Familiarity with Jenkins
Description
You will be responsible for creating test cases and implementing test plans related to functionality, performance, power, and stability of the Apple Neural Engine. You will also be responsible for developing and maintaining automation frameworks, and developing new automation test cases. You should be able to describe and clearly document test plan/procedure/test results and assess the quality of releases. You will use continuous integration environments/tools and CI standard methodologies to improve test coverage. You will partner with development teams and multi-functional QA teams to triage, diagnose, debug issues and derive root-cause. You will positively influence the team on testability and bug prevention strategies.
Education & Experience
BS and a minimum of 3 years relevant industry experience
