Scientific Software Engineer - Quantum Microscopy

仕事内容

WHO WE ARE Qnami is a Quantum Design Company and a pioneer in the Quantum Sensing industry since 2017. We transform fundamental physics into high-precision scientific instruments. Based in Basel, we sit at the forefront of the "second quantum revolution," developing diamond-based sensors used by leading academic researchers and R&D engineers at top-tier semiconductor and high-tech companies worldwide For more than 40 years Quantum Design (QD) has been providing technology solutions to researchers in the fields of physics, chemistry, biotechnology, materials science, and nanotechnology. Established in 1982, Quantum Design is the leading commercial source for automated materials characterization systems offering a variety of measurement capabilities. QD instruments are found in the world's leading research institutions and have become the reference standard for a variety of magnetic and physical property measurements YOUR MISSION We are looking for a Scientific Software Engineer to develop and advance the software platform of our Quantum Microscopy product line. In this role, you will be responsible for the design and implementation of an intuitive user interface in Python and PySide. Your role will extend to hardware integration and contribution to the development of microscopy modalities and data analysis tools. Working closely with our R&D team, Product, Applications, and Support teams, you will help transform advanced scientific concepts in reliable, maintainable, and user-friendly commercial instruments. You will also collaborate with colleagues at the Quantum Design site in Pfungstadt, Germany. YOUR RESPONSIBILITIES Software Platform & User Experience • Designing, building, and maintaining the PySide/Qt-based graphical user interface • Implementing responsive, intuitive controls for the various microscope components • Creating post-processing features and parameter tuning interfaces • Integrating SDKs and APIs into the platform architecture Hardware Integration & Instrument Communication • Developing Python interfaces and drivers for microscopy hardware ( motor stages, cameras, filter wheels, light sources). • Debugging communication issues between PC and instruments (serial, USB, Ethernet, etc.) Controls & Embedded Systems • Develop and integrate control logic for optical, mechanical and electronic microscope components primarily within the Python-based instrument-control platform • Working closely with the hardware team to design and validate embedded solutions Imaging, Signal Processing & Analysis • Developing signal processing and image analysis methods integrated into the acquisition pipeline Customer Support & Continuous Improvement • Working with beta testers and our application scientists to identify issues, gather feedback, and continuously improve system performance and user experience • Troubleshooting software and hardware issues reported by users and supporting root-cause analysis. YOUR PROFILE Education & Professional Experience • Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Physics, or a related field, or equivalent professional experience • 3+ years of professional software development experience with Python • Experience developing desktop applications using Qt/PySide (PySide2, PySide6, or PyQt) • Experience working in cross-functional teams alongside engineers and scientists • Contributions to open-source software projects are a plus Software Development • Strong Python development skills, including modern software engineering practices such as type hints, testing, and asynchronous programming • Demonstrated understanding of software architecture and code design principles, • Demonstrated ability to design, develop, and maintain robust, modular, and scalable software systems • Strong troubleshooting and debugging skills across complex software stacks • Strong command of Git-based version control, including branching, merging, code reviews, and collaborative development practices • Experience with real-time systems, performance optimisation, threading, or multiprocessing is a plus • Proficiency with Linux systems and command-line environments is a plus Hardware & Instrument Integration • Experience interfacing with hardware devices using common communication protocols such as Serial, USB, and TCP/IP • Ability to diagnose and resolve issues spanning software, hardware, and instrument communication layers • Experience with microcontroller development (Arduino, ESP32, or similar) is a plus Imaging & Scientific Applications • Experience in image processing and analysis using OpenCV, scikit-image, NumPy, or s j4id10371651cs j4it0937cs j4iy26cs

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