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Brightstar Lottery is seeking a highly experienced Firmware Engineer IV with deep expertise in image processing to join our Retail Channel Engineering team. This role is critical to the development and optimization of cutting-edge firmware solutions that power our lottery products. The ideal candidate will bring a strong foundation in C/C++ development, advanced image processing techniques, and a passion for innovation in AI and machine learning.
Job Responsibility:
Design, develop, debug, and maintain firmware using machine language, assembly, and high-level languages (C, C++) for Brightstar Lottery products
Architect and implement image processing algorithms including OMR, OCR, and multi-spectrum imaging (White Light, UV, IR)
Enhance image and video quality through mathematical and computational techniques
Apply AI/ML methods to improve image recognition and processing capabilities
Prepare and annotate large-scale image datasets for model training and evaluation
Train, validate, and deploy deep learning models using TensorFlow, PyTorch, and OpenCV
Conduct performance analysis and optimize models for accuracy, latency, and resource efficiency
Collaborate cross-functionally with software, hardware, and data science teams to ensure seamless system integration and deployment
Stay abreast of emerging trends and research in computer vision, image processing, and AI
Requirements:
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or Physics
8+ years of experience in C/C++ software development, including design and documentation
Strong foundation in computer science, mathematics, and physics
Proficiency in Linux OS, including system-level programming, kernel development, and device drivers
Deep understanding of image processing techniques and algorithm development
Experience with deep learning frameworks (TensorFlow, PyTorch) and libraries (OpenCV)
Excellent problem-solving skills and ability to thrive in fast-paced, collaborative environments
Nice to have:
Familiarity with cloud platforms such as AWS or Azure