Western Digital Staff Engineer HAMR ISA Auto Visual Inspection Engineering 

Philippines, Baguio 

283382057

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.