Staff Equipment Control Software Engineer

SEAGATE SINGAPORE INTERNATIONAL HEADQUARTERS PTE. LTD.Singaporemycareersfutureпубликувана на 15.10.2026 г.
Задължително:PythonC#AILeadRemote

About our group: The Equipment Development Engineering group (EDE) of Seagate Technology is expanding the team!  We welcome aspiring Automation Alchemist Enthusiasts to check out this awesome opportunity!   Our vision is to innovate and develop advanced, intelligent, automated manufacturing equipment solutions that can sense, analyze, make smart decisions, and learn by themselves.  The EDE is a fully integrated equipment development team; we design and develop precision and fully automated assembly equipment and vision inspection machines. The team is made up of a strongly cohesive high performing team of design talents with a diversity of talents specialized in mechanical, embedded systems, electrical, software, and vision disciplines. We strive to constantly incorporate IIOT, AI, machine learning image, and data analytics solutions into all our development, enabling our equipment to realize factory smart intelligence, thus creating a high-tech future-ready Physical AI plant.     We seek dedicated, motivated, and creative talented teammates, who take up the new automation directives to provide turnkey solutions, integrating functionality, automation & intelligence for Drive Assembly, Drive Test, Heads, Media Manufacture Automation & Enterprise Data Solutions.   Many of our designs have won a variety of innovation awards, and patents on both the Company and International levels. We welcome any interested candidates that possess this mindset to embark on this exciting journey in challenging the future roadmaps. About the role - you will: Develop control software for precision, high-throughput automated equipment.   Design and develop machine vision and/or deep learning software to enhance efficiency, accuracy, and productivity for precision, high-throughput automated equipment Design and develop electrical control system with draftsman support on schematic drawings and BOM creation. Collaborate with cross-functional teams to gather requirements, design system architectures, and implement software solutions. Implement best practices for software development, including code reviews, testing, and documentation. Support and troubleshoot existing automation systems, identifying and resolving technical issues in a timely manner. Stay updated on industry trends and emerging technologies to drive innovation and continuous improvement in automation software solutions. Perform continuous improvement and enhancement to the existing equipment software toward Smart Autonomous Manufacturing. Able to perform vision calibration and manage motion Kinematic design. Proficient with inter-process communication analogy and capable of applying interlocking mechanism well for time-sensitive operation. Profound understanding of engineering principles and practices, with vast industry experience. About you: Coach and lead a small group of Engineers in machine software / vision development & design. Self-motivated, team player with strong analytical skills and eager to learn more. A positive mindset with a can-do attitude to challenge the impossible.  A good team player with the ability to work independently. Good organizational and time management skills.  Able to work remotely in an effective manner. Willingness to travel as required to support business operations and project needs. Your experience includes: Bachelor's or master's degree in electrical and Electronics Engineering, Instrumentation, Computer Engineering, or other equivalent engineering disciplines.

8 years of related professional experience with strong interest and academic results in the field of automation control, software programming, vision-based AI &/or experience in MvTec Halcon toolkits are welcome. Processes strongly in Vision application development, C# and/or C++ OOP and multi-threading PC based software programming for automated equipment control.  Experience in electrical design for machine automation in Class100 cleanroom environments will be very much preferred though not compulsory. Knowledge and/or experience in EtherCAT fieldbus, SolidWorks 3D, machine vision technology, AI Technology or Control Automation will be an added advantage. Experience in data science and AI technology through past projects shall be favorable.  Processes interest in transforming data science prototypes into production-ready solutions with knowledge of Python, Web design, Pytorch library, and/or other machine learning frameworks.