Dry Etch Engineer – Photonics Growth & Process Excellence

SMART Photonics; Eindhoven; Presencial; EUR 65.000 - 90.000; Tempo integral

Benefícios oferecidos por esta vaga

Competitive salary and benefits

Open, informal culture

Resumo da vaga

SMART Photonics is seeking a proactive Dry Etch Engineer to strengthen our Eindhoven team. You will optimize dry etch processes, monitor performance, and drive improvements across yield, quality, capacity and cost in a high-tech manufacturing environment.

You will collaborate with cross-functional teams, support new process introductions, and apply statistical tools to reduce variation. Experience in photonics and InP tech is a plus, with a strong focus on detail and proactive problem solving.

Qualificações

• Master’s degree in a relevant technical field.
• 3+ years in semiconductor manufacturing.
• Experience with dry etch or plasma processing.
• Familiar with SPC, DoE, and FMEA programs.

Responsabilidades

• Maintain and optimize dry etch processes for stable manufacturing performance.
• Monitor process performance and drive yield, quality, capacity and cost improvements.
• Troubleshoot deviations; perform root cause analysis and corrective actions.
• Support development, qualification and introduction of new processes and equipment.
• Apply SPC/DoE/FMEA to reduce variation and improve stability.
• Collaborate with Equipment, Operations, Process Integration, Quality and R&D.

Conhecimentos

Semiconductor manufacturing experience

Dry etch / plasma processing

SPC, DoE, FMEA

Formação

Master’s degree in Materials Science, Chemical Engineering, Applied Physics, Electrical Engineering, or related field

Descrição da vaga

SMART Photonics is seeking a proactive Dry Etch Engineer to strengthen our Eindhoven team. You will optimize dry etch processes, monitor performance, and drive improvements across yield, quality, capacity and cost in a high-tech manufacturing environment.

You will collaborate with cross-functional teams, support new process introductions, and apply statistical tools to reduce variation. Experience in photonics and InP tech is a plus, with a strong focus on detail and proactive problem solving.