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Western Digital Staff Engineer HAMR ISA Auto Visual Inspection Engineering 
Philippines, Baguio 
283382057

04.09.2024
Company Description

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Collaborate with manufacturing teams to integrate automated visual inspection systems into production lines.
  • Develop hardware and software solutions that meet the specific needs of manufacturing processes, ensuring seamless integration and minimal disruption to production.
  • Optimize inspection systems for speed and accuracy in high-volume manufacturing settings.
  • Design and develop hardware components, including cameras, lighting, and sensors, for use in automated visual inspection systems.
  • Ensure that hardware is robust and reliable for continuous operation in a manufacturing environment.
  • Troubleshoot and optimize hardware performance to meet stringent quality and production standards.
  • Develop custom software applications using C++, C#, and Visual Basic for image processing, machine vision, and real-time data analysis.
  • Utilize Cognex VisionPro and VIDI for advanced machine vision tasks, including defect detection and pattern recognition.
  • Implement AI-based image processing techniques to enhance inspection accuracy and adaptability in dynamic manufacturing conditions.
  • Design and implement systems for the collection, storage, and analysis of inspection data within the manufacturing process.
  • Develop tools to analyze data trends, identify process improvements, and provide actionable insights to manufacturing teams.
  • Ensure data management systems comply with industry standards and regulations.
  • Lead the integration of hardware and software components into cohesive inspection systems that align with manufacturing workflows.
  • Conduct rigorous testing to validate system performance under real-world manufacturing conditions.
  • Work closely with production teams to implement and scale inspection systems across multiple production lines.
  • Monitor system performance and drive continuous improvement initiatives to enhance accuracy, speed, and overall system efficiency.
  • Stay updated on advancements in machine vision, AI, and manufacturing technologies.
  • Lead the adoption of new technologies that improve inspection capabilities and manufacturing outcomes.
  • Create detailed technical documentation, including system designs, user manuals, and standard operating procedures for manufacturing teams.
  • Provide training to manufacturing and maintenance personnel on the operation and troubleshooting of visual inspection systems.

REQUIRED:

  • Bachelor’s or Master’s degree in Manufacturing Engineering, Electrical Engineering, Computer Science, or a related field.
  • 5-7 years of experience in developing hardware and software solutions for automated visual inspection systems in a manufacturing environment.
  • Strong knowledge of image processing, machine vision algorithms, and data management practices.

PREFERRED:

  • Proficiency in C++, C#, and Visual Basic, with the ability to develop and optimize software for automated visual inspection systems.
  • Expertise in using Cognex VisionPro and VIDI for advanced machine vision tasks, including defect detection, pattern recognition, and quality control.
  • Experience in implementing AI-based image processing techniques to enhance inspection accuracy and system adaptability in dynamic manufacturing conditions.
  • Strong experience in designing and integrating hardware components such as cameras, lighting, and sensors for use in manufacturing environments.
  • Ability to design and implement systems for the collection, storage, and analysis of large volumes of inspection data, ensuring data integrity and compliance with industry standards.
  • Solid understanding of manufacturing processes, with experience integrating inspection systems into production lines and optimizing them for high-volume manufacturing.

SKILLS:

  • Experience with industrial automation systems, including PLC programming and integration with visual inspection systems in manufacturing environments.
  • Knowledge of machine learning algorithms and their application in improving defect detection and predictive maintenance in manufacturing processes.
  • Proficiency in using advanced data analytics tools and techniques to extract insights from inspection data, optimize processes, and drive continuous improvement.
  • Strong project management skills, with experience leading cross-functional teams in the successful deployment of automated inspection systems.
  • Familiarity with quality control standards and regulatory requirements in manufacturing, ensuring that inspection systems comply with industry benchmarks.