
Software Quality Assurance Engineer
8 hours ago
Software Quality Assurance Engineer – Hybrid Metrology End-To-End Solution Testing
Job Summary & Responsibilities:
Perform various types of testing to ensure software quality for Onto's optical metrology systems
including integration testing for hardware/software systems, system interface testing, functional
testing for software services/modules, regression and benchmarking testing for system
performance etc.
Cover the end-to-end metrology solution workflow from operating optical metrology tools in
acquiring measure data, preparing and setting up recipes for measurement, to producing thin
film/OCD metrology solutions.
Collaborate closely with product, hardware, software, application, characterization team in
designing SQA testing strategies and plans based on product requirements, system
specifications and technical design documents.
Create detailed, comprehensive and well-structured test plans and test cases.
Plan, coordinate and execute testing activities to meet product release schedules and
requirements.
Design, implement, and maintain test automation capabilities to improve the efficiency and
coverage to SQA testing.
Develop, maintain and improve testing suites/processes for various purpose such as feature
testing, regression testing, release testing and benchmarking etc.
Document software defects and work closely with software teams in addressing them
Track quality assurance metrics, like defect densities and open defect counts.
Identify software quality gaps and provide solutions.
Stay up-to-date with and actively adopt new testing tools and test strategies.
Qualifications:
BS degree in Computer Science, Engineering, Physics, Chemistry, Material Science or a related
discipline
Passionate about quality and taking ownership
Critical problem solving and strong analytical skills
Proven work experience in software quality assurance
Strong knowledge of SQA methodologies, tools and processes
Experience in developing comprehensive test plans and test cases based on software
requirements
Hands-on experience with automated testing tools
Solid knowledge in scripting
Experience working in an Agile/Scrum development process
Preferred Education and Experience:
Prior experience with working knowledge in one or more of the following areas: semiconductor
front-end processes, Thin Film and OCD metrology technologies, optical spectroscopies and
material characterization
MS or PhD in Computer Science, Engineering, Physics, Chemistry, Material Science or a related
discipline
Knowledgeable in one or more of the following areas: numerical analysis, machine learning,
software development
- ISTQB Certification
-
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