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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