Description

Working with system and platform architects, system engineers and other stakeholders 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 come up with best compute effective design approaches.· Works with processing algorithm designers to improve algorithms to decrease computational burden.You’ve acquired a Minimum of 5 years professional software development experience of complex processing algorithms utilizing GPUs, preferably deployed in medical products.· You have In-depth knowledge of GPU programming, e.g., CUDA, and of machine learning frameworks.· Your skills include proficiency with the image/signal processing, as well as experience programming with MATLAB®, Python and C++ (preferred).· You have a Minimum of a Bachelor of Science in Computer Science, Computer Engineering, Mathematics, Physics, Biomedical, Electrical engineering or related fields and background in theory of medical image formation. M.S. in the above fields is preferred.

Skills & Experience

Computer Engineering, Graphics Processing Units (GPUs), Machine Learning

Cyient is an Equal Opportunity Employer.

Cyient recruits, employs, trains, compensates, and promotes regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, and other protected status as required by applicable law. We are proud to be a diverse and inclusive company where our people can focus their whole self on solving problems that matter.