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Applied Materials Manufacturing Engineer SmartStart 
United States, Texas, Austin 
929442118

17.04.2025

$78,500.00 - $108,000.00


Key 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, 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%)

Full time

Assignee / Regular