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Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.
Analyze existing inspection and data systems to recommend and plan improvements or the integration of new automated solutions.
Collaborate with software and process engineers to address technical challenges in Auto Inspection system design, data modeling, and system maintenance.
Apply engineering principles to design, develop, and improve data automation pipelines and software systems.
Troubleshoot, test, debug, and maintain software components and machine learning integrations within the Auto Inspection framework.
Develop and implement enhancements using Software Design Patterns to improve the architecture, scalability, and performance of the Slider & SDET .
Drive system validation through data verification, root cause analysis, and performance monitoring.
Currently pursuing a degree in Electronics, Computer, Industrial, or Mechatronics Engineering.
Knowledge of Software Design Patterns and Database Design Concepts.
Proficient in C#, SQL, API integration, and Object-Oriented Programming (OOP).
Familiar with code structuring, software development lifecycle, and version control tools (e.g., Git).
Exposure to machine learning, image recognition, or automated inspection systems is an advantage.
Strong skills in Design Thinking, Project Management, Presentation, and Team Collaboration.
Analytical, detail-oriented, and eager to apply engineering principles in a real-world automation environment.
Additional:
Computer Programming
Database Design
Front-end and Back-end Architecture
Network Systems
English Proficiency (Written and Verbal)
Proficient in Microsoft Office Applications (Word, Excel, PowerPoint)
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