Senior Quantum Measurement Engineer Denmark Copenhagen Kongens Lyngby

Job description

Define, implement, test and maintain new electrical characterization methods, measurement protocols, and data analysis routines. Proactively identify opportunities for improving existing measurement workflows. Design, implement, and maintain automated data acquisition, instrument control, and processing pipelines in a high-level language, applying machine learning and AI methods where appropriate to maximize measurement throughput and reproducibility. Communicate results, insights and recommendations clearly to multidisciplinary audiences, enabling data-driven decisions across teams. Contribute to and uphold best practices in our codebase, documentation, data quality, reproducibility, and experiment traceability. Model and maintain safety and security practices and compliance with policies. Embody our culture and values. Doctorate in Physics, Engineering, or related field AND experience in industry or in a research and development environment, could include completion of a post doctoral research position OR Master's Degree in Physics, Engineering, or related field AND solid experience in industry or in a research and development environment OR Bachelor's Degree in Physics, Engineering, or related field AND proven experience in industry or in a research and development environment OR equivalent experience. Applied experience in electrical characterization and tuning of quantum devices (e.g. spin qubits, superconducting qubits, etc.) Proficiency in instrument control, experiment automation and data analysis in a high-level language (e.g. Python). Ability to work in an AI-first environment and leverage AI tools to drive innovation and efficiency. Demonstrated ability to work effectively in cross-functional, collaborative technical teams, communicate to a interdisciplinary audience and translating complex data into actionable insights. Self-motivation, ownership mindset, and the ability to deliver results in a dynamic and rapidly evolving environment. A track record of solving problems and driving clarity in ambiguous R&D settings. Doctorate in Physics, Engineering, or related field AND solid experience in industry or in a research and development environment, could include completion of a post doctoral research position OR Master's Degree in Physics, Engineering, or related field AND solid experience in industry or in a research and development environment OR Bachelor's Degree in Physics, Engineering, or related field AND in-depth experience in industry or in a research and development environment OR equivalent experience. Experience applying machine learning and/or AI models to data analysis, experiment automation, or scientific workflows. Experience in electronic transport measurements on semiconductor devices. Experience in characterization of superconducting devices. Experience with radio-frequency measurement techniques. Experience with cryogenic measurements and operating dilution refrigerators. Basic understanding of git and version-controlled collaborative software development practices. Experience building automated, production-quality data pipelines or analysis systems. These requirements include, but are not limited to the following specialized security screenings: