Yield and Process Control Automation Engineer

Intel Intel · Semiconductors · Arizona, Phoenix, United States

This role focuses on integrating factory systems including equipment control, production activity control, MES, yield management, and SPC systems to optimize throughput, improve product quality, and enhance operational efficiency in semiconductor manufacturing. The engineer will architect, develop, and deploy automation solutions, design real-time communication interfaces using SEMI standards, and lead root-cause analysis and system-level debugging.

What you'd actually do

  1. Architect, develop, and deploy automation solutions with partner organizations across wafer prep, die prep, and assembly test manufacturing.
  2. Partner with manufacturing, equipment engineering, IT, process engineering, and quality teams to understand business needs and translate them into automation solutions.
  3. Design and implement real-time communication interfaces using SEMI standards (SECS/GEM, GEM300).
  4. Maintain and improve software architecture, ensuring scalability, robustness, and maintainability.
  5. Lead root-cause analysis and system-level debugging for complex integration issues.

Skills

Required

  • Bachelor's or Master's Degree in Computer Science, Computer Engineering, or related STEM field.
  • 7+ years of experience in semiconductor manufacturing automation, systems integration, or related areas.
  • 5+ years' experience with database systems (such as SQL Server, Oracle, PostgreSQL).
  • 5+ years' experience with yield management systems (YMS), statistical process control (SPC), and automated yield/SPC workflows.

Nice to have

  • Advanced degree in Computer Science, Computer Engineering, or related STEM field.
  • Hands-on experience with SEMI communication standards (SECS/GEM, EDA/Interface A, GEM300).
  • Strong debugging and data analysis skills, especially in complex production environments.
  • Experience in 300mm manufacturing environments.
  • MES300 and/or Workstream experience is a plus.
  • Experience collaborating with yield engineering teams to enhance automated analytics for scrap reduction, drift detection, and process health monitoring.
  • Understanding of factory KPIs (OEE, cycle time, throughput, yield)

What the JD emphasized

  • semiconductor manufacturing automation
  • yield management systems
  • statistical process control (SPC)