Develop, implement, and maintain methods, operation sequence and processes in the assembly and testing of components, sub-assemblies and final assemblies of semiconductor equipment,
Update and expand existing test scripts, debug scripts by testing for and fixing errors,
Compile logbooks and test procedures documentation utilizing clear writing skills. Assist in revising, developing and implementing documented procedures. Write complex process flow, technical reports and test/assembly procedures.
Test and troubleshoot system and component level problems in electrical and mechanical systems and sub-systems with minimal supervision.
Perform root cause analysis for issues that arise during assembly and test of systems
Data Handling: Skills in data collection, preprocessing, analysisand model deployment
Machine Learning Algorithms: Understanding of various machine learning algorithms and techniques, including supervised and unsupervised learning, neural networks, and deep learning
May work from limited or no documentation. Investigate/compile data and documents and recommend changes using applicable reporting process to enhance modular testing capability,
Interface with other engineering functions to coordinate the release of product improvements and new products.
Requirements
Bachelor in Engineering with specific interest in test engineering. Preferred minimum 2 year of experience.
Experience working on semiconductor equipment – either in manufacturing or in field/technical service.
Conceptual knowledge of theories, practices and procedures for semiconductor equipment testing.
Technical knowledge of mechanical, electrical, pneumatic, vacuum and process testing.
Functional understanding of test simulation hardware and software
Attention to Detail : High level of attention to detail to identify and fix issues.
Creativity and Innovation: A creative mindset to develop new solutions and improve existing system.
Analytical Skills: Ability to analyze complex data and derive meaningful insights.
Problem-Solving: Strong problem-solving skills to develop and optimize machine learning models
Creativity and Innovation: A creative mindset to develop new solutions and improve existing systems.
Ability to communicate effectively with multiple stakeholders and teams.
Strong independent work ethic.
Willingness to travel internationally to customer side ( approximately 20%)