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 wafer inspection, metrology, MOCVD, process, equipment, and wafer-level datasets to identify trends, anomalies, root causes, and yield drivers.
- Build automated data 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.
- Partner with process, equipment, manufacturing, development, and data/IT teams to investigate defect excursions and process changes.
- 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 recommendations to engineering teams, management, vendors, and customers.
Requirements
- BS with 5+ years, MS 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 with Python and SQL.
- Experience applying AI/ML, computer vision, statistical learning, or advanced analytics to engineering problems.
- Experience with large datasets, including data extraction, manipulation, statistical analysis, visualization, and correlation.
- Familiarity with pandas, NumPy, scikit-learn, OpenCV, PyTorch, or TensorFlow is desirable.
- Experience with AI/ML-based wafer defect detection or classification is preferred.
- Experience developing automated data pipelines, dashboards, or manufacturing analytics tools is preferred.
- Experience with optical wafer inspection systems such as KLA Candela or Nanotronics is preferred.
- Knowledge of semiconductor materials, epitaxial growth, materials characterization, DOE, SPC, process capability, and statistical modeling is preferred.
- Familiarity with cleanroom protocols and semiconductor wafer handling is preferred.
- Strong organizational, analytical, problem-solving, teamwork, and cross-functional collaboration skills.
Benefits
- Medical, dental, vision, health savings account, flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, pet insurance, long-term disability, short-term medical benefits, paid sick time, paid holidays, and accrued paid vacation.
- Eligible for bonus opportunities; compensation is dependent on geography, experience, and skills.
- Regular full-time PERM employment; remote work is not available.
- Applicants must be currently authorized to work full-time in the United States, and the employer is unable to sponsor work visas for this position.
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.