Software & Hardwar Development Engineer (Manufacturing Automation)

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Lead the design, development, and deployment of all backend systems supporting HGA backend transformation initiatives, focusing on digitalization, AI integration, and automation.
• Develop and optimize image processing and machine vision algorithms using platforms such as VIDI, VPRO, COGNEX or equivalent tools to improve inspection accuracy, defect detection, and production efficiency.
• Integrate AI/ML solutions into manufacturing processes, including model development, training, validation, and continuous performance improvement.
• Design and maintain scalable backend architectures to support real-time data processing, system interoperability, and high-throughput manufacturing environments.
• Debug and troubleshoot hardware-software interfaces, including cameras, sensors, PLCs, and industrial communication protocols, ensuring stable and reliable system performance.
• Collaborate with cross-functional teams (process engineering, equipment engineering, IT, and operations) to implement end-to-end automation solutions.
• Utilize advanced data analytics techniques to analyze large datasets, identify trends, and support data-driven decision-making.
• Maintain comprehensive technical documentation for system architecture, algorithms, and integration processes.

REQUIRED:

• Bachelor’s degree or higher in Software Engineering, Computer Science/Engineering, or a related field
• 2+ Years experience in Software development or related field
• Knowledge on software development languages (Python/R coding, Java, C++, C#), database management (SQL, NoSQL), data analytics tools, Spotfire and data visualization platforms

PREFERRED:

• Eager on learning and self-development
• Experience in electronics or HDD industry
• Experienced in high-volume manufacturing

SKILLS:

• Project management abilities
• Problem-solving
• Cross-functional collaboration
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across diverse teams

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