Aptm Yield Analysis Senior Engineer / Team Leader

Intel Intel · Semiconductors · Oregon, Hillsboro, United States +1

Senior Engineer/Team Leader in Yield Analysis and Defects for advanced packaging technology. Drives yield and defect improvement using large datasets, advanced analytics, and machine learning. Identifies and resolves yield-limiting mechanisms in development and manufacturing. Leads efforts to improve manufacturing processes, test methodologies, and defect detection. Extracts insights from data, analyzes trends, develops solutions, and influences roadmaps. Partners with cross-functional teams, presents technical reports, and defines corrective actions. Leads and mentors teams.

What you'd actually do

  1. Extract insights from structured and unstructured datasets using statistical analysis, machine learning techniques, and data mining methodologies.
  2. Analyze large volumes of manufacturing, test, and defect data to identify yield-impacting trends and opportunities for improvement.
  3. Develop and implement solutions using manufacturing process knowledge, statistical methods, and structured problem-solving techniques.
  4. Drive recommendations and influence yield improvement roadmaps across technology development and manufacturing organizations.
  5. Analyze the relationship between electrical failures and physical defects through the application of: Failure Isolation and Failure Analysis (FIFA), Design for Test (DFT), Sort and Test methodologies, Process Integration, Manufacturing process flows, Data mining and database analysis, Data visualization techniques.

Skills

Required

  • Bachelor's degree with 9+ years of experience, OR Master's degree with 6+ years of experience, OR PhD with 4+ years of experience
  • Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, Electrical Engineering, Computer Science, Information Systems, Physics, Chemistry, or a related technical discipline.
  • 5+ years of experience performing data analysis using tools like JMP, Python, or similar statistical and data analysis tools.

Nice to have

  • Experience applying advanced statistical analysis techniques to manufacturing or yield-related problems.
  • Experience utilizing structured technical problem-solving methodologies.
  • Knowledge of semiconductor product design, circuit design, or architecture as it relates to yield analysis.
  • Knowledge of inline defect metrology systems and their application to yield improvement.
  • Experience with semiconductor manufacturing, advanced packaging technologies, or high-volume manufacturing environments.
  • Experience working with large manufacturing datasets, databases, and data visualization tools.
  • Experience leading technical projects or mentoring engineering teams.

What the JD emphasized

  • large-scale datasets
  • machine learning techniques
  • advanced analytics
  • yield improvement

Other signals

  • machine learning techniques
  • advanced analytics
  • large-scale datasets