Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
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.
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.