Semiconductor Equipment Engineer: Yield & Process Optimizer

Samsung; Taylor (TX); On-site; USD 76,000 - 120,000; Full time

Benefits offered by this job

Medical benefits

Dental & vision

401(k) matching

Onsite facilities

Parental leave

Paid time off

Personal holidays

Wellness program

Job summary

Samsung Austin Semiconductor seeks an equipment engineer to join a team focused on maintaining world-class process/equipment and driving yield enhancements. You will work on qualification, data analysis, and cost-reduction initiatives on-site in Austin, TX.

Responsibilities include monitoring equipment, implementing in-line changes, updating SOPs, and communicating technical information across the department. A strong background in engineering and data analysis is required.

Qualifications

• 2+ years work experience.

Responsibilities

• Monitor wafer fabrication equipment and respond to issues.
• Qualify new manufacturing equipment.
• Coordinate equipment qualifications and downtime with manufacturing.
• Use data to identify trends and inform processing decisions.
• Adjust equipment parameters when needed and monitor after maintenance.
• Execute in-line process/equipment changes.
• Present technical information within the department.
• Revise SOPs regularly.
• Develop improved processes to increase capability.
• Monitor costs and drive cost-reduction projects.

Skills

Python

VBA

Statistics

Lean / TPS / 5S

Presentation

Technical writing

Troubleshooting

Data analysis software

8D problem solving

PPE knowledge

Education

BS/MS in Chemical/Mechanical/Electrical/Industrial Engineering or Physics/Chemistry/Materials/CS

GPA 3.0 or higher

Tools

Spotfire

JMP

MATLAB

Job description

Samsung Austin Semiconductor seeks an equipment engineer to join a team focused on maintaining world-class process/equipment and driving yield enhancements. You will work on qualification, data analysis, and cost-reduction initiatives on-site in Austin, TX.

Responsibilities include monitoring equipment, implementing in-line changes, updating SOPs, and communicating technical information across the department. A strong background in engineering and data analysis is required.