Senior Engineer Product Test Engineering

Your Role Key responsibilities in your new role Support Maverick lots (lots-on-hold) detection / handling, analysis, disposition & improvement against reoccurrence, address issues to Front end /assembly. Execute and implement Ratio activities (test time reduction, retest reduction, test insertion removal, higher parallelism Migration). Interfaces with design, process, test, reliability and manufacturing engineering to solve product issues and production problems in terms of yield, stability and quality. Develops and sustains process improvements to reduce production costs and increase yields. Provide customer return verification support including implement containment & preventive actions. Perform complex analysis of large data sets to derive statistically dependent outputs, leading to observations and recommendations for testing process improvements. Interpret manufacturing and testing data to gain insights into testing performance, identifying areas for future improvement and growth. Develop and implement semi-automated data analysis algorithms using programming languages and data analysis tools, and design reporting systems to support technology maturation and production efforts. Advise product engineer teams on AIML techniques to further tune current testing processes, driving efficiency and effectiveness. Collaborate with cross-functional teams to convey data analysis results, observations, and recommendations in both written and interpersonal communication formats. Support products as a learning curve for data analytics and improvement processes, driving a culture of continuous learning and improvement. Your Profile Qualifications and skills to help you succeed Bachelor's or Master's degree in Electrical Engineering (EE), Mechanical Engineering (ME), or a related field. Min. 0-5 years of experience in product testing, manufacturing, or a related field, with a strong desire to transition into an AIML-focused role. Strong foundation in programming languages, such as Python, C++, or MATLAB, and experience with data analysis tools and software. Basic understanding of AIML concepts , including machine learning, deep learning, and natural language processing. Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. Strong analytical and problem-solving skills, with the ability to derive insights from complex data sets.