About the role
AI summarisedThe F10 Probe Automation Engineer designs, develops, and maintains automation software solutions to support factory operations, including autonomous material delivery, scheduling, and in-house equipment automation. This role involves collaborating with manufacturing and global automation teams to improve productivity, cycle time, and system efficiency through data-driven optimization and continuous improvement. The engineer owns the full lifecycle of automation solutions and supports day-to-day operations by troubleshooting and enhancing system reliability.
IDMOnsiteAssembly & Test
Key Responsibilities
- Design, develop, deploy, and maintain automation software solutions supporting factory operations, including autonomous material delivery, factory scheduling, and in-house equipment automation
- Work closely with site manufacturing teams to understand operational needs and develop automated scheduling solutions that improve productivity, cycle time, and system efficiency
- Collaborate with global factory automation teams to enable and integrate autonomous mobile robot solutions for automated material delivery within the factory
- Partner with global equipment and automation groups to develop, enhance, and support in-house equipment automation, ensuring performance, reliability, and scalability of production systems
- Identify opportunities for automation, optimization, and performance improvement using data analysis, system monitoring, and visualization tools (e.g., dashboards and reports)
- Support day-to-day production operations by troubleshooting automation systems, resolving issues, and driving continuous improvement initiatives
Requirements
- Master’s or Bachelor’s degree in Electrical & Electronic Engineering, Mechanical Engineering, Computer Science, Data Science, or a related field
- Strong proficiency in Perl and/or Python, SQL, and web technologies (Angular, HTML, CSS), with demonstrated ability to rapidly learn new programming languages and frameworks
- Hands-on experience with Linux-based systems (e.g., Ubuntu, Debian, RHEL, AlmaLinux), including system usage, scripting, and troubleshooting
- Experience working with cloud platforms, preferably Google Cloud Platform (GCP), including deployment, data processing, or infrastructure usage
- Experience with Tableau or PowerBI is an advantage
- Hands-on experience or practical exposure to AI and Machine Learning techniques is an advantage
- Demonstrated leadership potential through teamwork, collaboration, or involvement in activities beyond academic coursework
- Strong growth mindset with a passion for continuous learning and self-improvement
- Excellent problem-solving skills with a structured and logical approach
- Clear, concise, and effective communication skills
