BSc in Electrical Engineering, Computer Engineering, Physics, or a related field 7+ years of extensive experience in embedded systems, electro-optical sensor integration, or related disciplines Strong Python proficiency — automation frameworks, data analysis, instrument control, and test development Demonstrated experience with HW/SW automation, design control, and development methodologies Solid understanding of camera and laser sensor technologies and associated interface protocols Proven ability to bridge the gap between physics-level understanding and engineering implementation Deep understanding of electro-optical sensor principles — including photodetection, quantum efficiency, noise characterization (read noise, dark current, shot noise), and signal-to-noise ratio analysis Experience with optical test bench setups: integrating spheres, collimators, laser sources, spectral filters, and beam profiling equipment Familiarity with LiDAR / ToF sensor technologies — including timing resolution, range accuracy, and multi-path interference analysis Knowledge of image sensor characterization methodologies Experience with radiometric and photometric measurements and calibration procedures Understanding of laser safety classifications, optical power measurement, and wavelength characterization Ability to define and execute environmental and stress testing protocols for optical sensor assemblies Advanced degree (MSc or PhD) in Physics, Electro-Optics, or Electrical Engineering Experience with embedded firmware development or firmware-hardware co-validation Familiarity with CI/CD pipelines for hardware validation environments
