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Micron Asia Operations PTE. LTD. is seeking a dedicated researcher to support thin film process development and AI-enabled insights.
You will execute ALD/CVD steps, collect data, and document results, while learning fundamentals under the guidance of senior engineers. Collaborating with equipment and integration teams, you will analyze data trends, assist in tool qualifications, and develop foundational knowledge in materials, chemistry, and process physics to enable independent experimentation
Execute established thin film processes (ALD/CVD) according to defined procedures and development plans.
Run experiments, collect data, and maintain accurate documentation of results.
Learn process fundamentals, key knobs, and sensitivities for assigned film steps or unit processes.
Perform basic data analysis and summarize results in clear, structured formats.
Identify obvious trends, anomalies, and repeatability issues in experimental data.
Present findings in team forums with guidance from senior engineers.
Support day-to-day process development activities on cell film equipment.
Learning tool operation principles, recipe structure, and basic hardware functionality.
Assist in tool qualifications, process checks, and routine troubleshooting efforts.
Develop basic understanding of how cell film processes impact downstream integration and device behavior.
Support failure analysis and learning activities related to yield or reliability issues.
Follow established handoff and documentation practices.
Collaborate closely with senior engineers, equipment engineers, and integration teams.
Seek feedback and coaching to accelerate technical learning.
Demonstrate strong ownership of assigned tasks and timelines.
Build foundational knowledge in thin film materials, chemistry, and process physics.
Progress toward independent execution of experiments with minimal supervision.
Learn to connect process conditions to material, structural, and early electrical trends.
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.
Fundamental understanding of thin film deposition techniques (ALD, CVD).
Basic knowledge of materials science, chemical reactions, and vacuum systems.
Familiarity with experimental methods and data interpretation.
Willingness to learn semiconductor process tools and fab metrology.
PhD, or Master’s degree with ≥3 years, or Bachelor’s degree with ≥5 years of relevant experience in Electrical Engineering, Materials Science, Chemistry, Chemical Engineering, Physics, or a related field.
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.