Reference: NES018710-TSH-1 The Product Specialist (Electronics Heavy Duty Mechanical Drive Systems) is responsible providing technical expertise and support for electronic components and systems within heavy-duty mechanical the successful integration and performance of electronic systems in mechanical drives. Requirements: An National Senior Certificate / Matric. Diploma in electronics and/or electrical engineering will be advantageous
strong background in embedded C development, electronics, and microprocessor programming. We place a premium dedicated to the development of cutting-edge power electronics for vehicles. Our product portfolio includes converters, and specialized controllers. These electronic systems are not only designed to meet the highest manufacturing processes, encompassing everything from electronic SMD production to precision CNC machining. With Excellent problem solving ability - Graduate electronic engineering degree - Programming experience in
inspections, diagnose issues, and repair electrical/electronic malfunctions, ensuring optimal performance and problems, conduct inspections, and repair electrical/electronic issues. Installation & Commissioning: Assist Experience: Qualified Electrician/Millwright (with electronics) Minimum 3 years of experience in an industr technical activities Aptitude for mechanics and electronics Precise and detail-oriented Team player and physically
that develops vehicle electrical systems and electronics for locomotives, passenger trains, defence, mining mining, and electrical vehicles. Our electronic systems are exported to South East Asia, Europe and the
as needed. Requirements: Bachelor's degree in (Electronic, Mechatronic, Computer) Engineering. Solid understanding
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installing, testing, and maintaining electrical or electronic wiring equipment, appliances, apparatus, and
Bachelor's degree in Electrical Engineering, Electronic Engineering, Computer Science, Automation, or
PSCAD, or equivalent. Strong knowledge of power electronics, control systems, and energy management algorithms