R&D Engineer - Optical Systems & Single-Photon Source Lithography
Quandela Sourced
No account needed — this role is applied for on the employer’s own site.
About the role
Quandela stands as a global leader in quantum computing, driven by groundbreaking technology and a strategic vision for scaling quantum solutions. The company’s unique ability to offer both hardware and software solutions, along with its commitment to build energy efficient datacenters and scalability, positions it to play a key role in the next wave of innovation, and in many strategic and sovereign industrial sectors. Join Us at the Forefront of Quantum Computing Innovation 🚀 About this position: We are looking for a R&D Engineer - Optical Systems & Single-Photon Source Lithography to support the development of novel designs of Single Photon Sources (SPS) for Quandela’s SPS R&D department. This position combines advanced optical experiments, hands-on R&D, and manufacturing engineering. The SPSL Engineer will play a key role in the fabrication of new designs of SPSs, that will be further tested by colleagues on characterization testbenches. The role will have a strong focus on in-situ localization of quantum dots (QDs) at cryogenic temperatures and lithography over the localized QDs with laser writing techniques. The successful candidate will work closely with our SPS R&D team, SPS production team, fabrication engineers, equipment owners, and cleanroom operators to improve performance of the SPSs and successfully transfer R&D advances to our production mainline. This is a highly hands-on position requiring a strong understanding of optics and semiconductor fabrication, rigorous experimental methodology, and the ability to investigate complex interactions between process parameters and device performance. Key responsibilities Improving SPS performance Develop, optimize and stabilize QD positioning and laser lithography process on R&D “experimental” epitaxial wafer growths with high-performance potential. Contribute to the development of GUIs and automation software in the Python programming language. Contribute to the development of fully automated QD-positioning and lithography tools on complex, “experimental” epitaxial wafer growths. Define process windows, recipes, operating conditions and acceptance criteria. Improve process repeatability, reproducibility, robustness, and within-wafer / wafer-to-wafer homogeneity. R&D to Production Transfer Prepare processes and equipment for increasing wafer sizes, batch sizes, and production volumes. Assess manufacturability, scalability and process risks before transferring to production. Define qualification plans and acceptance criteria before releasing new or modified processes to production. Support technology transfer through clear documentation, operator training, and technical communication. Detect process drifts, investigate deviations, and define corrective and preventive actions. Equipment & Production Support Contribute to the development of novel fabrication setups, both on the hardware and software side. Work closely with equipment suppliers and internal teams to resolve technical issues. Contribute to a safe, disciplined and efficient cleanroom environment. Process Characterization & Data Analysis Develop appropriate data analysis tools to identify process sensitivities, and optimization opportunities. Search and analyze scientific and technical literature to support experiments development and troubleshooting. Documentation & Communication Ensure frequent and clear reporting of experimental results, risks and improvement actions. Communicate effectively with colleagues from different technical backgrounds and levels of experience. Requirements Required Qualifications & Experience : Master's degree or PhD in Optics, Materials Science, Physics, Micro/Nanotechnology, Electrical Engineering, or a related field. Hands-on experience with semiconductor or photonic device fabrication in a cleanroom environment. Hands-on experience in design, assembling, and alignment of optical systems. Hands-on experience in design, assembling, and operation o
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