Computer Programmer II (Hybrid) Neurosurgery - Galveston

The University of Texas Medical Branch is seeking a Computer Programmer II to join a multidisciplinary team developing next-generation optical imaging systems for neurosurgery. The role involves designing and optimizing software for optical components and developing machine learning algorithms for improved image-based detection and classification.

Responsibilities

• Develop and maintain Python-based control software for optical subsystems (LED drivers, cameras, filters, motorized stages, DAQs, etc.)
• Design and implement real-time data acquisition and visualization pipelines for fluorescence, spectral, and photoacoustic imaging
• Build and evaluate machine learning models (e.g., classification, segmentation, regression) for improved detection and image analysis
• Collaborate with optical engineers, neuroscientists, and clinicians to integrate software with hardware systems and perform benchtop and intraoperative validation
• Translate research-grade prototypes into clinically deployable systems
• Maintain organized documentation, version control (Git), and contribute to shared multi-site data workflows

Skills

• Associate's degree or equivalent in related field and one year related experience
• Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field
• Proficiency in Python required; strong experience in libraries such as NumPy, OpenCV, scikit-learn, TensorFlow, or PyTorch
• Experience interfacing with optical and electronic components (e.g., cameras, LEDs, filter wheels, motion stages, serial/USB communication)
• Working knowledge of image processing and signal analysis
• Demonstrated ability to design, test, and document engineering systems in a collaborative environment
• Experience with real-time image acquisition and GPU acceleration (CUDA or OpenCL)
• Familiarity with biomedical or scientific imaging systems
• Experience with machine learning or AI-driven image analysis

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