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Tokyo Electron

Corporate venture investing in semiconductors, displays

Technical Support Engineer - ES

Data SciencePosted on Nov 10
Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

  • Experience with manufacturing process analytics, production yield data, and equipment process logs.
  • Strong understanding of semiconductor etch fundamentals and how plasma and process conditions influence device outcomes.
  • Experience with data engineering and analytics, including building datasets from equipment and wafer-level data, performing time alignment, and handling missing or noisy signals.
  • Proficiency with machine learning and/or advanced statistical analysis for process monitoring, correlation, and prediction.
  • Practical experience creating clear, decision-ready dashboards, reports, and investigation artifacts.
  • Bachelor's degree in Engineering or a related field.
  • Experience developing and/or optimizing dry etch processes and assessing their manufacturing capabilities.
  • Experience working on international teams.
  • Experience analyzing datasets to extract key insights, visualize data, and translate findings into actionable recommendations.
  • Experience communicating the value proposition of technical solutions to various audiences, including external customers, based on an understanding of technology marketing.

Responsibilities

  • Build analytics that correlate wafer yield outcomes with TEL etch plasma system process data and equipment-relevant parameters.
  • Develop models and feature sets that capture relationships between plasma and etch behavior and manufacturing metrics such as yield, defect trends, and process stability.
  • Create automated dashboards and reporting to track process performance over time and by tool and recipe lot.
  • Perform data preparation and validation, including data quality checks, standardization, and alignment of recipe and 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, including recipe tuning suggestions, monitoring thresholds, and process window adjustments.
  • Collaborate with cross-functional teams to integrate analytics into daily manufacturing workflows and improve measurement and monitoring coverage.
  • Maintain documentation of data pipelines, model assumptions, evaluation methods, and outcomes.

About the Company

Tokyo Electron

Corporate venture investing in semiconductors, displays

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Company size
11-50
Company stage
IPO
Headquarters
Fremont, CA
Founded
1963

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