Senior F10 SIC Engineer
Job Summary
The Senior SIC Engineer will coordinate, analyze, and optimize the performance of new parts within the F10 fab. This role focuses on enhancing production metrics, managing New Part Introduction (NPI), and driving operational efficiency through data modeling. You will collaborate across departments to develop strategic plans for WIP and cycle time management.
Responsibilities
- Coordinate and optimize new part performance
- Manage New Part Introduction (NPI)
- Set strategic plans for WIP and Cycle Time
- Develop performance reports and dashboards
- Drive operational efficiency via data analysis
Required Skills
- Masters Degree in Engineering or Supply Chain
- 2+ years in Manufacturing/Operations
- Statistical analysis and problem-solving
- Proficiency in Tableau, Power BI, Python, R, SQL
- Semiconductor capacity planning knowledge
Job Details
Key Responsibilities:
- Partner with key team members to develop applications and processes to continuously improve production metrics.
- Collaborate with engineering to plan for future product introduction.
- Partner with the area Engineering and Operations teams to keep updated on area issues, priorities, and projects.
- Communicate fab performance metrics to a large, diverse group of stakeholders.
- Coordinate New Part Introduction (NPI) between teams.
- Set strategic and tactical plans for Work In Progress (WIP), Cycle Time (CT), and priority allocations.
- Drive operational planning for critical efforts to ensure timelines are met.
- Develop standard processes, reports, dashboards, and data visualizations to convey project status.
- Plan, track, and report on key lot status.
- Use statistical analysis to optimize fab performance metrics and audit manufacturing capacity information.
- Present findings and recommend solutions for fab performance gaps.
- Drive innovation by researching and using new data modeling techniques or tools.
- Evaluate and collaborate on scenarios representing changes, perform 'what-if' analyses, and assess operational impacts.
- Innovate and implement predictive models and decision tools to address business needs.
- Seek out novel methodologies to better predict and track manufacturing key performance indicators.
Qualifications & Requirements:
- Masters Degree in Industrial Engineering, Manufacturing Engineering, Production Operations Management, Supply Chain, or equivalent.
- Two or more years of experience in Operations/Manufacturing.
- Excellent multi-tasking, time-management, organization, and prioritization skills.
- Proven track record of communicating sophisticated analysis in a succinct and actionable manner.
- Sophisticated skills in Microsoft Office (Outlook, Excel, Power Point).
- Ability to identify, develop, propose, and implement plans to drive overall efficiency.
- Proven ability to organize and facilitate meetings and project teams.
- Demonstrated analytical problem-solving skills to address root causes.
- Solid understanding of statistics, data analysis, and production line management techniques.
- Knowledge of semiconductor manufacturing processes regarding capacity planning, automation, scheduling, cycle time, and efficiency.
- Proficient in tools such as Tableau, Power BI, Python, R, and SQL.
- Familiarity with AI tools.