F10 PROBE AUTOMATION ENGINEER

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.

• Own the end-to-end lifecycle of automation solutions, including understanding requests, solution design, development, deployment, monitoring, and continuous evaluation and improvement.

• 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.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. 

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. 

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.

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.