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Shift Process Engineer

Company: IM Flash Technologies
Location: Salt Lake City
Posted on: July 12, 2018

Job Description:

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  • Shift Process Engineer

    Job Locations US-UT-Lehi
    Posted Date 4 hours ago(7/6/2018 8:02 PM)
    Job ID 2 Category EngineeringOverview Shift Process Engineers are responsible for owning the performance of their assigned tasks or set of workstations. This includes; optimizing product flow, improving workstation performance, executing to defined priorities, and monitoring tool processes. Additional responsibilities include, but are not limited to:
    • Completing all required safety training and conducting all work in accordance with IM Flash safety policies
    • Partnering with ROC team members and area engineers to support tool processes and resolve issues
    • Developing, maintaining, and monitoring workstation performance reports
    • Monitoring workstations, tools, or processes to improve efficiency
    • Following up on issues impacting product (deviation, SPC, etc.)
    • Increasing tool availability
    • Processing special work requests (SWRs)
    • Creating data summaries of process-related information and resolving basic process issues
    • Optimizing and testing processes
    • Dispositioning lots in a timely and quality driven manner
    • Engaging in systematic troubleshooting
    • Monitoring, analyzing, and addressing SPC issues
    • Understanding appropriate escalation paths and executing as required
    • Providing content for, and submitting updates for controlled documentation
    • Communicating area events both verbally and in writing (passdown, e-mail, system comments, etc.)
    • Working any shift and rotate shifts as required
    • Partnering with stakeholders to identify opportunities for area optimization in reference to process items
    • Designing and coordinating optimization projects with other areas
    • Partnering with management to develop applications to improve manufacturing metrics
    • Presenting findings and recommending solutions to area performance gaps
    • Identifying BKMs and lessons learned and sharing them locally and globally
    • Assuming additional duties and projects as directed by the supervisor
    • Optimizing and implementing best-in-class predictive models and decision tools to address business needs
    • Communicating data finding to diverse audiences
    • Seeking out novel methodologies and tools to better predict and track manufacturing key performance indicators
    • Driving the collection of new data and the refinement of existing data sources
    • Evaluating existing processes and configuring manufacturing systems to reduce cost, improve sustainability and develop best practices within the production process
    • Improving area quality through metrics, analytics, and business process improvementsQualifications
      • Proven ability to communicate complex analysis in a succinct and actionable manner
      • Strong organizational skills and the ability to complete projects effectively
      • Strong understanding of statistics, data analysis, and problem solving
      • Proven ability to work effectively with team members from different disciplines
      • Demonstrated critical thinking skills
      • Demonstrated written and verbal communication skills
      • Demonstrated ability to be detailed oriented and follow complex processes
      • Proven ability to prioritize responsibilities and manage multiple tasks
      • Intermediate PC skills
      • Solid understanding of production line management techniques and theories
      • Demonstrated ability to learn fundamental semiconductor production floor concepts and operations
      • Proven ability to continuously learn and improve
      • Demonstrated ability to identify, develop, propose, and implement effective plans to improve overall efficiency
      • Demonstrated ability to organize and efficiently facilitate meetings and project teams
      • Strong knowledge of and ability to apply manufacturing science (scheduling, inventory management, and capacity planning)
      • Demonstrated understanding and improvement of production metrics and line performanceEducation and Experience: Education and Experience: BS in Industrial Engineering, Manufacturing Engineering, an engineering related field (Chemical Engineering, Mechanical Engineering, or MSE) or equivalent experience. Knowledge of the semiconductor manufacturing process in regards to automation manufacturing efficiency is preferred

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