GPU Software Engineer

Job DescriptionWorking with system and platform architects, system engineers and other stakeholders to generate high-performance, GPU-centric, platform-based, and scalable designs of complex signal/image processing.Designs, codes, documents, tests (automated), maintains, and deploys software.Reads and analyzes processing algorithm specifications to devise the best compute-effective design approaches.Collaborates with processing algorithm designers to enhance algorithms and reduce computational burden.You have acquired a minimum of 5 years of professional software development experience in complex processing algorithms using GPUs, preferably deployed in medical products.In-depth knowledge of GPU programming, e.g., CUDA, and machine learning frameworks.Proficiency in image/signal processing and experience in programming with MATLAB, Python, and C++ (preferred).Minimum of a Bachelor of Science in Computer Science, Computer Engineering, Mathematics, Physics, Biomedical, Electrical Engineering, or related fields with a background in the theory of medical image formation. An M.S. in the above fields is preferred.

#J-18808-Ljbffr Software Development