Wafer Process Engineer - Data-Driven Improvement Leader

SEH America; Washington; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical (2 plan options)

Dental (2 plan options)

Vision insurance

Retirement savings plan

Life and disability insurance

Paid vacation and sick time

Education assistance

Subsidized childcare (25%)

Subsidized meals

Job summary

SEH America, located in Vancouver, Washington, is seeking a 300MM Process Engineer to support silicon wafer production. You will monitor and improve safety, quality, yield, productivity, and cost by collaborating with operators, technicians, and peers in a high-volume manufacturing facility.

Responsibilities include data analysis, engineering tests, root cause analysis, lean manufacturing, 5S, and audits support.

Qualifications

• Bachelor of Science in Engineering required.
• Minimum 3 years in an engineering role with statistical data analysis.
• Knowledge of SPC is essential.
• Proficient in MS Office and data interpretation.

Responsibilities

• Monitor process data to maintain quality, yield and productivity.
• Optimize production costs wherever possible.
• Conduct engineering tests and quantify results to determine best solutions.
• Provide technical expertise and project management with a hands-on approach.
• Lead root cause analysis and support FMEA activities.
• Identify and address safety risks in the production environment.
• Collaborate across groups to meet department and company goals.

Skills

Statistical data analysis

SPC

Data-driven decisions

Presentations & communication

Travel willingness

Education

Bachelor of Science in Engineering (Mechanical, Chemical, Materials)

Tools

MS Office

Statistical analysis tools

Job description

SEH America, located in Vancouver, Washington, is seeking a 300MM Process Engineer to support silicon wafer production. You will monitor and improve safety, quality, yield, productivity, and cost by collaborating with operators, technicians, and peers in a high-volume manufacturing facility.

Responsibilities include data analysis, engineering tests, root cause analysis, lean manufacturing, 5S, and audits support.