الوصف الوظيفي
Role Support troubleshooting, analysis, and continuous improvement of complex X-ray systems by applying strong electronics fundamentals and a structured problem-solving approach. Key Responsibilities – Supporting Sustenance activities • Assist in troubleshooting field and internal failures in X-ray systems (electrical/electronic level) • Support root cause analysis (RCA) using structured methods (5 Why, Fishbone, etc.) • Perform basic measurements and debugging using tools like Multimeter, Oscilloscope (if experienced) • Work with cross-functional teams (R&D, Quality, Service) to resolve issues • Document findings, test results, and corrective actions clearly • Continuously learn system architecture, subsystems, and failure modes Required Qualifications • Bachelor’s degree in Electronics / Electrical / Mechatronics Engineering • Diploma with 0–4 years of experience • Freshers with strong fundamentals and good academics can apply Must-Have Technical Skills • Strong fundamentals in: o Basic electronics (resistors, capacitors, diodes, transistors) o Digital electronics (logic gates, digital ICs, Combinational circuits, etc) o Circuit understanding and schematic reading o Basic electrical concepts (voltage, current, grounding, signals) • Exposure (academic or project-level) to: o Troubleshooting or debugging circuits/systems o Lab instruments (multimeter, oscilloscope – added advantage) What we Specifically are looking for • Demonstrates structured thinking in problem solving (not guesswork) • Shows curiosity to understand “why a failure happens” • Has done hands-on projects / practical work, not just theoretical knowledge • Able to break down complex problems into smaller parts • Willingness to learn new domains like X-ray systems and medical devices • Communicates clearly and works well in a team environment Nice to have • Internship/project experience in: o Electronics debugging o Embedded systems / hardware testing • Basic understanding of medical devices or safety standards (IEC 60601
لقد تمت ترجمة هذا الإعلان الوظيفي بواسطة الذكاء الاصطناعي وقد يحتوي على بعض الاختلافات أو الأخطاء البسيطة.
