About the role

AI summarised

Process & Equipment Engineer at Micron Technology, a global semiconductor leader. Responsible for process start-up, development, optimization, and troubleshooting in a fab environment, focusing on yield, quality, cost, and cycle-time improvements. Requires an engineering or science degree and strong analytical skills.

IDMFull-timeFront End

Key Responsibilities

Establish and improve process condition and technology.
Upgrade process capability and reduce production cost.
Establish and modify process management projects.
Set up process parameters for a variety of semiconductor equipment.
Evaluation, promotion and planning of new equipment / materials.
Analyze data and perform root cause analysis to identify and resolve process issues.
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

Bachelor's or advanced degree in Engineering or Science is required
Strong analytical, logical, and critical thinking skills
Effective communicator, able to collaborate across all levels
Growth mindset with a passion for continuous learning
Internship or experience in the semiconductor industry is a plus
Demonstrated leadership and a track record of impact are highly desirable
Interest in and knowledge of the semiconductor industry and Micron is preferred
Knowledge of Statistical Process Control (SPC), Design of Experiment, Engineering Statistical data analysis would be advantageous.
Embody Micron's core values: People – Respect, develop, and empower others Innovation – Drive continuous improvement and breakthrough thinking Tenacity – Show grit and determination Collaboration – Build trust and foster teamwork Customer Focus – Deliver excellence and value
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.