Process Engineers Photonics & GaN Devices - Nanofabrication processes

About the role

DAS Photonics is building a new microfabrication facility for LNOI photonic devices and GaN-based power transistors, including hybrid integration using Micro Transfer Printing (µTP). We are hiring skilled Process Engineers in the areas of:

• Photolithography
• Plasma Etching
• Wet Etching
• Thin Film Deposition
• Metallization
• MOCVD (GaN)

In this position, you will take part in equipment selection and acquisition, process development, and process flow definition. You will be a key bridge between device designers, equipment/facilities engineers, and integration teams.

Key Responsibilities

• Lead the development and optimization of advanced processes for LNOI photonics and GaN electronics.
• Define the process flow aligned with device specifications and fabrication capabilities.
• Collaborate with device designers to transfer concepts into process-compatible prototypes.
• Drive the evaluation, selection, and commissioning of fabrication tools.
• Set up process control protocols to ensure reliability and reproducibility.
• Troubleshoot and resolve deviations or failures in fabrication.
• Document and standardize procedures for repeatability and knowledge transfer.
• Provide mentorship to junior engineers and support training plans.
• Lead or contribute to R&D initiatives aligned with DAS's roadmap.
• Maintain communication with suppliers and vendors regarding tool specs and performance.

Qualifications & Skills

• Degree in Materials Science, Physics, Electrical Engineering, Chemistry, or related.
• Experience in micro/nanofabrication; compound semiconductors and/or photonic devices preferred.
• Strong hands-on expertise in at least one core area: lithography, etch, deposition, metalization, or MOCVD.
• Solid understanding of cleanroom practices and equipment operation.
• Familiarity with characterization tools (e.g., SEM, profilometry, AFM, reflectometry, particle monitoring).
• Ability to work independently and manage processes end-to-end.
• Experience in statistical process control (SPC), yield analysis, and root cause methodologies.
• Excellent communication skills in English (Spanish is a plus).

Desirable

• Knowledge of GaN HEMT processes or LNOI photonic integration.
• Experience with process transfer, scaling, or industrialization.
• Familiarity with hybrid integration (e.g., III-V on LNOI via µTP).