Job Description

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.

• 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

• 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