Software Metrology Solutions Tester

7 days ago


Udaipur, Rajasthan, India beBeeQualityAssurance Full time ₹ 90,00,000 - ₹ 1,20,00,000
Quality Assurance Engineer - End-To-End Solution Testing

We are seeking a skilled Quality Assurance Engineer to perform various types of testing to ensure software quality for optical metrology systems. The ideal candidate will have a strong background in software quality assurance and experience with automated testing tools.

Job Description:
Perform various types of testing including integration testing, system interface testing, functional testing, regression and benchmarking testing to ensure software quality.
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.

Required Skills and 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

Benefits:
The successful candidate will have the opportunity to work on a variety of projects, collaborate with a talented team, and contribute to the development of cutting-edge technology.

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


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