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GaN Technology Engineer Full-time onsite working in Spain The Engineer at a foundry specializing in the fabrication and design of photonic components based on Gallium Nitride (GaN) plays a key role in supporting the development, optimization, and characterization of integrated photonic devices. Engineers are responsible for executing tasks under supervision, developing technical skills, and contributing to project deliverables. Responsibilities: Execute assigned tasks in the design, simulation, and layout of integrated photonic devices using GaN. Assist in the design, simulation, and layout of GaN-based photonic and optoelectronic devices (e.g., LEDs, laser diodes). Support process development and optimization for GaN-based device fabrication. Participate in technical reviews and internal training. Conduct data analysis and contribute to technical documentation and reporting. Collaborate with process engineers and designers to troubleshoot device performance and yield issues. Follow cleanroom protocols and ensure compliance with safety and quality standards. Document results and maintain accurate records of experiments, measurements, and fabrication steps. Required Education: Bachelor’s or Master’s degree in Engineering, Applied Physics, Photonics, Materials Science, Optoelectronics, or a related field. Academic or research experience in III-V semiconductors or photonic integration is highly valued. Technical Skills: Solid understanding of semiconductor physics, photonics, and optoelectronic device principles. Familiarity with GaN-specific fabrication processes. Experience with photonic design and simulation tools such as: KLayout, Cadence, or IPKISS Lumerical (FDTD, MODE) COMSOL Multiphysics Knowledge of PDKs (Process Design Kits) and DRC (Design Rule Checking). Hands-on experience with optical/electrical test setups and equipment (e.g., optical spectrum analyzers, probe stations, power meters). Experience with device simulation tools (e.g., Lumerical, Silvaco, COMSOL) for optical, electrical, and thermal modeling. Programming/scripting skills in Python, MATLAB, or similar for data analysis and automation. Familiarity with cleanroom fabrication processes: photolithography, etching, deposition, metallization, wafer bonding, etc. Proficiency in technical English, both written and spoken.

For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 5500+ professionals working on a worldwide ambition. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. We welcome all individuals and evaluate solely on the quality of their work and teamwork. As Data Engineer at Xebia, you will partner with engineering, product, and data teams to design and deliver scalable, high-performance data solutions. You will build and optimize data platforms and pipelines, implement cloud-native architectures, and mentor junior engineers while promoting engineering excellence across teams. Deliver scalable and robust data systems for clients worldwide. Engineer data platforms with a strong focus on performance, security, and reliability. Design and develop data processing pipelines (batch and streaming). Integrate heterogeneous data sources and optimize processing workflows. Work closely with analysts to enhance data accessibility and insights. 6+ years of experience in a senior data engineering or backend data role. ~ Strong proficiency in Python with hands-on experience building data processing pipelines. ~ Expertise with GCP services, especially GCS, Cloud Run ,GKE, BigQuery and Dataflow. ~ Advanced SQL skills and solid understanding of relational and NoSQL databases. ~ Experience with data orchestration/workflow tools (Nextflow, Airflow, etc.). ~ Strong experience building cloud-native data solutions, particularly on GCP. ~ Proficiency in Docker and experience deploying workloads on Kubernetes. ~ Experience with version control (Git) and collaborative engineering workflows. ~ Excellent English communication (written and spoken). ~ Knowledge of Terraform for IaC. Experience with PowerBI or similar BI tools. running models in Docker/Kubernetes).