Staff Defect Metrology AI/ML Engineer
Renesas Electronics5 days ago
Goleta, CA, USAStaff+
Base Salary
$120k - $160k/yr
Responsibilities
- Develop image-processing algorithms and AI/ML models to detect, classify, and quantify semiconductor defects.
- Analyze large datasets from wafer inspection, metrology, and MOCVD processes to identify trends, correlations, anomalies, and root causes.
- Build automated analysis and visualization workflows using Python, SQL, JMP, Excel, and related tools.
- Correlate substrate defects with epitaxial defects and develop data-driven substrate quality screening methods.
- Integrate defect, process, equipment, and wafer-level data to understand defect mechanisms and yield drivers.
- Partner with process, equipment, and development engineers to correlate defect excursions with process changes and equipment events.
- Improve inspection methodologies, algorithms, calibrations, statistical metrics, and defect classification strategies.
- Ensure the accuracy, repeatability, and integrity of defect metrology systems and associated data.
- Apply DOE, SPC, statistical modeling, and data visualization to support process improvement.
- Communicate technical findings and actionable recommendations to engineering teams, management, vendors, and customers.
Requirements
- Bachelor of Science with 5+ years, Master of Science with 3+ years, or PhD in Engineering, Science, Data Science, Computer Science, or a related field.
- Experience in semiconductor defect inspection, metrology, yield engineering, manufacturing analytics, image analysis, or a related area.
- Strong data analysis and programming skills, preferably including Python and SQL.
- Experience applying AI/ML, computer vision, statistical learning, or advanced analytics to engineering problems.
- Experience working with large datasets, including data extraction, manipulation, statistical analysis, visualization, and correlation.
- Familiarity with pandas, NumPy, scikit-learn, OpenCV, PyTorch, or TensorFlow is desirable.
- Strong organizational, analytical, problem-solving, teamwork, and cross-functional collaboration skills.
- Preferred experience with AI/ML-based wafer defect detection or classification.
- Preferred experience developing automated data pipelines, dashboards, or manufacturing analytics tools.
- Preferred experience with optical wafer inspection systems such as KLA Candela or Nanotronics.
- Knowledge of semiconductor materials, epitaxial growth, and materials characterization is preferred.
- Preferred experience with DOE, SPC, process capability, and statistical modeling.
- Familiarity with cleanroom protocols and semiconductor wafer handling is preferred.
Benefits
- Medical, health savings account, dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, pet insurance, company-paid life insurance and AD&D, LTD, short-term medical benefits, paid sick time, paid holidays, and accrued paid vacation.
- Regular PERM employment; bonus opportunities are available in addition to base pay.
- Remote work is not available.
- New employees receive a detailed benefit orientation.
Categories
About Renesas Electronics
Renesas Electronics designs and sells microcontrollers, analog and power ICs, and connectivity solutions for automotive, industrial, infrastructure and IoT manufacturers. Its portfolio spans embedded processing, power management and ADAS-ready components, sold directly and through channels to OEMs and Tier-1 suppliers, with software and development tools to integrate them. Founded in 2010 and headquartered in Tokyo, it is a public company on the Tokyo Stock Exchange and has expanded through acquisitions including Intersil and Dialog Semiconductor.