Software Quality Assurance Engineer

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