Graduate Yield & Process Improvement Engineer

Infineon Technologies AG; Leominster (MA); Presencial; USD 81.000 - 99.000; Jornada completa

Descripción de la vacante

Infineon Technologies AG in Leominster, MA is seeking a detail-oriented Yield Improvement Engineer to drive and optimize product and factory performance. You will work within the Operations Engineering team to ensure improvement objectives stay on track and deliver results that meet or exceed expectations.

The role emphasizes strong product knowledge, root cause analysis, and data-driven decision making, with collaboration across manufacturing, test and quality teams to sustain yield

Formación

• Bachelor or Master of Science in Electrical Engineering or Electronics.
• Strong analytical, data review and statistical analysis skills.
• Experience with MS Office, especially Excel; JMP knowledge preferred.
• Ability to translate complex standards into actionable execution flows.
• Cross-functional collaboration with manufacturing, test and quality.

Responsabilidades

• Drive yield improvement by developing measures of product and factory performance.
• Track objectives within Operations Engineering to keep results on track and meet expectations.
• Lead root cause analysis for product and process issues.
• Review product and test data to identify trend and yield improvement opportunities.
• Collaborate with manufacturing, test and quality to implement yield enhancements.

Conocimientos

Analytical skills

Problem solving

Data analysis

Cross-functional collaboration

Initiative

Educación

Bachelor's or Master of Science in Electrical Engineering or Electronics

Herramientas

Excel

JMP

Descripción del empleo

Infineon Technologies AG in Leominster, MA is seeking a detail-oriented Yield Improvement Engineer to drive and optimize product and factory performance. You will work within the Operations Engineering team to ensure improvement objectives stay on track and deliver results that meet or exceed expectations.

The role emphasizes strong product knowledge, root cause analysis, and data-driven decision making, with collaboration across manufacturing, test and quality teams to sustain yield