About the role

AI summarised

This is a Probe Manufacturing Shift Engineer role at Micron, a leading semiconductor company. The engineer will lead shift technicians and contractors, analyze data to resolve equipment issues, and drive process improvements in a fast-paced manufacturing environment.

IDMFull-timeFront End

Key Responsibilities

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.

Requirements

Bachelor's degree in Electrical & Electronics, Chemical, Mechanical, or Materials Engineering, or equivalent.
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.
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.