About you:
● Demonstrated ability to work collaboratively and maintain self-drive.
● Proven aptitude for quickly acquiring new skills and knowledge
● Exceptional ability in articulating ideas and presenting information effectively
● Skilled at initiating projects and persuading stakeholders.
● Comfortable working autonomously and as part of a diverse team
● A collaborative approach, capable of engaging effectively with both native and non-native English speakers
● Strong analytical and problem-solving skills to troubleshoot complex issues that may arise during the development and implementation phases
● Willingness to participate in conference calls during non-standard work hours
● Strong leadership qualities with experience in project and team management
● Competent in managing personal time and professional workload efficiently
● Creative thinker with a track record of developing innovative solutions
● Commitment to continuously updating knowledge of cutting-edge technologies and trends within the automation and control systems sector, with a particular emphasis on advancements in Artificial Intelligence
● A forward vision and a desire to constantly improve the efficiency of the surrounding environment
● Good command of English
Your experience includes:
● Bachelor’s or higher degree in engineering and/or equivalent experience
● Object-oriented programming in C# and C++
● Proficiency in Microsoft Visual Studio software with GitHub integration
● DAQ, IO and Motion control on Fieldbus systems
● Understanding of industrial communication protocols and network architectures, such as Ethernet/IP, Modbus, DeviceNet, CAN and EtherCAT
● Experience in working with mechanical design, including electrical and pneumatic controls hardware selection for creating detailed designs and prototypes
● Proficiency in safety standards and risk assessments to ensure the safety of automated systems
● Experience in automation control devices including sensors, motors, encoders, scanners, pneumatic cylinders and electric actuators
● Experience in machine vision for both software and hardware for part measurement and inspection
● Good knowledge of statistical analysis for equipment qualification and improvement