Staff Photolithography Process Engineer: Yield & Process Optimization

SkyWater Technology, Inc.; Austin (TX); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

SkyWater Technology, Inc. is seeking a Staff Photolithography Process Engineer with 4+ years of experience in high-volume manufacturing environments.

You will lead process characterization, development initiatives, and collaborate across cross-functional fab teams to drive yield, CD, overlay, and cost improvements. The role emphasizes ownership of production lithography processes, development of control strategies, and the use of DOE and SPC to optimize performance.

Qualifications

• Bachelor’s or Master’s degree in engineering or a related technical field.

Responsabilités

• Develop, optimize, and sustain photolithography processes for high-volume manufacturing.
• Own and sustain production lithography processes, driving yield, defectivity, CD, overlay, throughput, and cost.
• Develop process control strategies and monitor plans to maintain process stability and capability.
• Monitor SPC charts to identify trends and implement corrective actions.
• Analyze process data to identify sources of variation and opportunities for improvement.
• Collaborate with equipment, integration, and cross-functional teams to troubleshoot issues.

Connaissances

Photolithography process engineering

High-volume manufacturing

Data analysis & DOE

SPC & process control

Cross-functional collaboration

Formation

Bachelor’s or Master’s degree in engineering or related field

Outils

TEL tracks

ASML Steppers & Scanners

ARCHER metrology

NANOSEM

HITACHI SEMs

Description du poste

SkyWater Technology, Inc. is seeking a Staff Photolithography Process Engineer with 4+ years of experience in high-volume manufacturing environments.

You will lead process characterization, development initiatives, and collaborate across cross-functional fab teams to drive yield, CD, overlay, and cost improvements. The role emphasizes ownership of production lithography processes, development of control strategies, and the use of DOE and SPC to optimize performance.