Process Contamination Control Engineer

Micron Technology • Manassas, VA

2d

About The Position

Develop and optimize airborne molecular contamination (AMC) supervising systems to ensure cleanroom coverage in critical process areas. Develop preventative maintenance plans aligned with industry standards and facility requirements; provide mentorship to technicians. Apply structured experimental build and statistical methods to validate measurement accuracy and maintain data integrity. Collaborate with internal teams and external partners to define monitoring requirements and evaluate new technologies. Lead proof-of-concept initiatives and support early implementation of contamination detection improvements. Maintain contamination control documentation and supervising dashboards to track performance and compliance. Analyze contamination data trends and respond to deviations using statistical process control (SPC) principles. Ensure contamination control plans comply with recognized industry standards and interpersonal policies.

Requirements

• BS in Chemical, Materials, Mechanical, or related engineering discipline
• 2-5 years in semiconductor or cleanroom environment preferred or equivalent academic experience in the fields of Analytical chemistry, Environmental chemistry, Air quality science and Environmental monitoring
• Statistical analysis proficiency and understanding of DOE (Design of Experiments)
• Familiarity with AMC monitoring tools and contamination control principles
• Tight-knit collaboration and technical social skills
• Knowledge of sophisticated analytical technologies (e.g., SYFT-MS, IMS)
• Experience with SPC systems and cleanroom contamination audits
• Experience with AMC monitoring systems and tools
• Familiarity with SPC-based AMC trend analysis and OOC response
• IMS (Ion Mass Spectroscopy) for ion mobility detection of amines and acids

Responsibilities

• Develop and optimize airborne molecular contamination (AMC) supervising systems
• Develop preventative maintenance plans
• Apply structured experimental build and statistical methods to validate measurement accuracy and maintain data integrity
• Collaborate with internal teams and external partners to define monitoring requirements and evaluate new technologies
• Lead proof-of-concept initiatives and support early implementation of contamination detection improvements
• Maintain contamination control documentation and supervising dashboards to track performance and compliance
• Analyze contamination data trends and respond to deviations using statistical process control (SPC) principles
• Ensure contamination control plans comply with recognized industry standards and interpersonal policies

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees