GPU Software Engineer

Job Description
Working 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.

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