SPG - SmartStart Install Automation Engineer

Responsibilities

• 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, analysis and model deployment

• Machine Learning Algorithms: Understanding of various machine learning algorithms and techniques, including supervised and unsupervised learning, 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 5 year of experience.

• Experience working on semiconductor equipment – either in manufacturing, design, test 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%)