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Industrial Engineer
| Company | Broadcom Limited |
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| Location | Allentown, PA, USA |
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| Salary | $84000 – $135000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Bachelors degree and 8+ years of related experience or Master degree and 6+ years of related experience
- Advanced degree in Data Science, Statistics, Computer Science, Industrial Engineering, or a related field
- Proven experience in data analysis and statistical modeling including the use of JMP or Tableau
- Familiarity with electronics manufacturing, semiconductor manufacturing processes, equipment, and industry-specific challenges
- High level proficiency in programming languages such as Python, Javascript, JMP, SQL and familiarity with data manipulation and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Plotly)
- Strong analytical skills and the ability to interpret complex data sets
- Excellent communication skills with the ability to present findings and recommendations to technical and non-technical audiences
- Ability to work independently and collaboratively in a fast-paced environment
Responsibilities
- Utilize statistical techniques and AI to analyze large datasets from semiconductor manufacturing processes
- Develop predictive models to forecast equipment failure, process deviations, product cycletime and yield improvements
- Collaborate with fab engineers and management to identify key performance indicators (KPIs) and develop metrics for process optimization
- Implement advanced analytics techniques to improve process stability, reduce cycle time, and enhance overall product quality including ‘run/wait/hold’ processes and productivity metrics
- Analyze and identify sources of variation to improve equipment performance and throughput
- Design and implement data-driven solutions for identifying defects and anomalies in semiconductor fabrication including photo overlay measurements and critical dimension specifications
- Develop algorithms to detect patterns in manufacturing data that lead to process improvements and defect reduction
- Integrate data from various sources (e.g., SECS/GEM equipment systems, oracle databases, vendor software) to create unified datasets for analysis
- Visualize data insights through dashboards and reports to facilitate decision-making and communicate findings to stakeholders
Preferred Qualifications
No preferred qualifications provided.
