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• We are looking for a highly motivated Quality Assurance engineer to work in the Fab Solution team in the Calibre business unit. You will be responsible for the qualification of machine learning model training and validating of the Calibre suite of tools, including the design, development, and execution of application specific functional and regression tests used to measure the quality, robustness, performance, supportability, and usefulness of these products. The individual will work closely with the software application developers and product marketing team to help deliver timely product releases that effectively meet our customer’s needs.
• Providing all stakeholders with appropriate regression reports in a timely manner.
• Developing all necessary artifacts, scripts, or tools that improve the overall job effectiveness and efficiency. Knowledge of basic machine learning model training and testing procedures, experience in machine learning model and experience in EDA will weigh in favorably in the hiring process
• Job Qualifications
• The successful candidate will possess the following combination of education and experience:
• MS in Data Science, Computer Science or equivalent combination of education and experience.
• Proficiency in Unix/Linux operating system environments required
• Knowledge of shell scripting and interpreted software languages, such a Python, C/C++ and tcl/tk are important skills required to be effective in this job.
• Individuals with strong ability to learn and explore new technologies and who are able to demonstrate good analysis and problem-solving skills are preferred.
• Prior knowledge of and experience with the physical processes that are machine learning model, although not required, will weigh in favorably.
• Must have the ability to collaborate closely with other members of the team and develop critical components consistently and in a timely manner.
• The candidate must have good written and verbal communication skills
• Knowledge of software quality assurance processes and experience with maintaining regression test suites is highly desirable.
• Able to thrive and improve in a multifaceted multi-site fast-paced development environment.
