Technical Support Engineer - ES

TEL • Taylor, MI

4d • Onsite

About The Position

We are seeking a Technical Support Engineer to improve wafer yield and key manufacturing metrics by analyzing wafer yield data together with Tokyo Electron (TEL) etch plasma system signals. You will develop and deploy data-driven insights to identify root causes, quantify process effects, and support continuous process optimization for etch-based steps.

Requirements

• Experience with manufacturing process analytics and working with production yield data and equipment process logs.
• Strong understanding of semiconductor etch fundamentals and how plasma/process conditions influence device outcomes.
• Experience with data engineering/analytics (e.g., building datasets from equipment and wafer-level data, performing time alignment, handling missing/noisy signals).
• Proficiency with machine learning and/or advanced statistical analysis for process monitoring, correlation, and prediction.
• Practical experience creating clear, decision-ready outputs (dashboards, reports, and investigation artifacts).
• Ability to work effectively with engineers to translate insights into process actions.
• Bachelor's degree in Mechanical Engineering or a related field
• Minimum of 8 years of experience, with a strong focus on troubleshooting and resolving complex technical issue

Responsibilities

• Build analytics that correlate wafer yield outcomes with TEL etch plasma system process data and equipment-relevant parameters.
• Develop models/feature sets that capture relationships between plasma/etch behavior and manufacturing metrics (e.g., yield, defect trends, process stability).
• Create automated dashboards and reporting to track process performance over time and by tool/recipe lot.
• Perform data preparation and validation, including data quality checks, standardization, and alignment of recipe/equipment events with wafer results.
• Support root-cause investigations using statistical and machine learning approaches to explain performance shifts and yield excursions.
• Translate analytic findings into actionable guidance for process engineering teams (recipe tuning suggestions, monitoring thresholds, process window adjustments).
• Collaborate with cross-functional teams to integrate analytics into daily manufacturing workflows and improve measurement/monitoring coverage.
• Maintain documentation of data pipelines, model assumptions, evaluation methods, and outcomes.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior