R2R Engineer at Micron Technology

Manassas, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Process Control, E3 Software, Statistical Data Analysis, R2R Strategies, Machine Learning, Deep Learning, Python, C Code, SQL, Statistical Process Control, Control Theory, Problem Solving, Six Sigma, Manufacturing Environments, Inline Defect Detection, Failure Analysis

Industry

Semiconductor Manufacturing

Description

Understands key process control concepts and can use them to deploy R2R control solutions in manufacturing areas. Possesses sophisticated knowledge of E3 software to develop existing R2R strategies. Maintenance of R2R strategies to implement enhancements and bug fixes. Understand and follow R2R Best Known Methods (BKM's), Business Rules (BR's), and Organizational Change procedures. Perform statistical data analysis to correlate reduction in variation and process capability (Cpk) improvement on statistical process control (SPC) chart from R2R deployment. Meets with customers to identify processes requiring R2R controller deployment on new processes, part types and during product ramp up/down. Maintains controller documentation, solving problems and corrective action guides for R2R controllers for use by different levels of responders - R2R engineers, process engineers, and shift engineers. Accountable for area level metric performance. Provide cross area coverage support for deployed process control solutions, including on-call support as required. Provide support to manufacturing process area during excursion reviews, weekly engineering meetings and area level process improvement projects to promote and improve benefits of R2R process solutions WW Alignment & Sharing Participates and contributes in WW R2R projects and area alignment meetings. Shares R2R software bugs, strategy issues with other Fabs. Works with WW fabs counterparts to implement enhancements and bug fixes in golden controllers and global functions and strategies. Testing and deployment of new controller versions and always ensure alignment between R2R controller versions in local fab and golden environment. Works with area trainers in developing end user training documentation for R2R controllers. Possesses knowledge of E3 software to develop existing R2R strategies. Process Control background. Coding and graphical programming. Programming languages such as Python and C code. Understanding of machine learning and deep learning. Understanding of semiconductor process flows and knowledge of control theory. Effective scripting knowledge in SQL, Python or other language Self-motivated with strong problem solving and analytical skills. Knowledge of open /closed loop control, model predictive control, linear & non linear control systems Knowledge of statistical methods to perform data analysis. Knowledge and experience with statistical process control (SPC) is a plus. Understanding of inline defect detection and failure analysis techniques. Understanding of problem solving methodologies such as 8D and Six Sigma. Understanding of manufacturing environments. Must be willing/able to work weekends or evenings as needed. Degree Required: B.S. or equivalent foreign education; or equivalent experience, will consider Masters . Academic Discipline(s): Control Theory, Control Systems, Automation and Control Engineering, Machine Learning, Artificial Intelligence, Electrical, Electronics, or Chemical Engineering; or Statistics, Computer Science; or related field.

Responsibilities

The R2R Engineer is responsible for deploying R2R control solutions in manufacturing areas and maintaining R2R strategies, including enhancements and bug fixes. They will perform statistical data analysis to improve process capability and support manufacturing processes during excursions and engineering meetings.