Our vision is to transform how the world uses information to enrich life for all.

Micron is growing! Are you interested in a position with an industry-leading semiconductor company with a highly collaborative and dynamic work community? Do you like the idea of working alongside some of the best in the business? Keep reading!

At Micron, we are seeking an experienced individual who has 2 or more years of post Education experience working in in manufacturing, operations, project management, Supply chain, or related field. This role offers a distinctive opportunity to contribute to a highly innovative company that is leading the way in transforming global information usage.

As a Part Operations Engineer, you will have a vital role in our Technology Development department. You will be in charge of coordinating, analyzing, and optimizing the performance of a developing new part within the fab, aiming for top-notch quality and efficiency. Your engineering and operations expertise will allow you to efficiently implement and improve business processes/Metrics to thrive in a dynamic and goal-oriented industry, with heavy emphasis on cross-collaboration with various teams.

Responsibilities:

• Partners with key team members to develop applications and processes to continuously improve production metrics
• Collaborate with engineering to plan for future product introduction
• Partners with the area Engineering and Operations teams to keep updated on area issues, priorities and projects
• Communicates' fab performance metrics to large diverse group of customers
• Coordinates New Part Introduction (NPI) between teams
• Sets strategic and tactical plans for Wip In Progress (WIP), Cycle Time (CT), and priority allocations in collaboration with various Engineering teams
• Drives operational planning for critical efforts ensuring we can meet critical timelines.
• Develops standard processes, reports, dashboards, and other data visualizations to convey project status
• Plans, tracks and reports on key lot status
• Uses statistical analysis to optimize fab performance metrics and audit manufacturing capacity information
• Presents findings and recommends solutions to fab performance gaps
• Drives innovation by researching and using new data modeling techniques or tools
• Evaluates and collaborates on scenarios representing changes, performs what if scenarios as needed, and works with Engineering and Operations to understand the impact of the changes
• Innovates and implements best-in-class predictive models and decision tools to address business needs
• Seeks out novel methodologies and tools to better predict and track manufacturing key performance indicators

Successful Candidates should have the following Qualifications:

• Excellent multi-tasking, time-management, organization and prioritization skills
• Dedicated to establishing and maintain effective relationships
• Proven track record to communicate sophisticated analysis in a succinct and actionable manner
• Sophisticated skills in Microsoft Office Outlook, Excel and Power Point
• Proven ability to identify, develop, propose, and implement effective plans to drive overall efficiency
• Proven ability to organize and efficiently facilitate meetings and project teams
• Demonstrated analytical problem solving skills with ability to fix complex problems and address root causes
• Solid understanding of statistics, data analysis, and problem solving
• Knowledgeable in the use of Tools such as Tableau, Power BI, Python, R
• Solid understanding of production line management techniques and theories
• Eagerness to learn, grown understanding of semiconductor production floor concepts and operations
• Understanding of Manufacturing Science (scheduling, inventory management, capacity planning)
• Thorough and dedicated to achieving outstanding outcomes

Education and Experience:

• Masters Degree in Industrial Engineering, Manufacturing Engineering, Production Operations Management, Supply Chain, or equivalent degrees
• Required: Two or more years of experience in Operations/Manufacturing.
• Preferred: Knowledge of the semiconductor manufacturing process in regards to capacity planning, automation, scheduling, cycle time and manufacturing efficiency.