Responsibilities and Tasks:
Lead and manage shift technicians and contractors to achieve operational objectives.
Call out and highlight issues on the production line that cause roadblocks to the team meeting operational targets and objectives.
Ensure adequate training and compliance with SOPs to eliminate safety and quality risks.
Analyze data and perform root cause analysis to identify and resolve equipment issues.
Maintain close communication and collaboration with production and process stakeholders to achieve strategic business objectives.
Establish and review SOPs to ensure they continue to be relevant and optimized for operation processes.
Explore and develop an agentic AI approach to improve productivity and protect quality.
Evaluate, promote, and plan new equipment and materials deployment.
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 degree in Electrical & Electronics, Chemical, Mechanical, or Materials Engineering, or equivalent.
Leadership: Demonstrated leadership experience through academic projects, internships, or extracurricular activities, with the ability to build and develop an effective team to tackle equipment operation challenges.
Problem-Solving Skills: Proven problem-solving abilities, knowledge on problem solving methodologies like 8D, 5 Why analysis, Process Failure Mode and Effect Analysis (PFMEA) to deliver effective solutions.
Strong communication skills (written, verbal and presentation) and personal initiative and ability to work in a fast-paced and dynamic environment.
Proven experience with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
Demonstrated PROBE internship experience within a semiconductor company.
Experience working on projects that align with the key duties of this position.
Interest in and knowledge of the semiconductor industry and Micron is preferred.
Understanding or interest in AI applications in semiconductor manufacturing, such as predictive analytics, automated defect classification, or data visualization is preferred.
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.
Embody Micron’s core values:
Customer Focus – Deliver excellence and value
People – Respect, develop, and empower others
Innovation – Drive continuous improvement and breakthrough thinking
Tenacity – Show grit and determination
Collaboration – Build trust and foster teamwork
Maximizes yield by working on tools, the process, or wafer fabrication recipes. Troubleshoots wafer fabrication problems and performs root cause analysis. Works with other process areas to understand and control process deviations. Long-term investigation of defect issues may require extensive work with shift engineering and other functional areas. Evaluates products to ensure they meet the required design and performance specifications. Conducts research to assess process adjustment requirements and recommends process improvements or equipment changes needed to efficiently manufacture new product or part types.
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