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Medium — strong employer brand and metro location, balanced by niche ML and medical-imaging specialization.
Medium — core ML, C++/Python, and CUDA skills transfer widely, but medical-imaging experience adds domain specificity.
High — explicit 4–6 years requirement plus mandatory hands-on ML/CUDA experience for specialized medical-imaging software.
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Drive pre-development and innovation initiatives for MR scanner technologies within the MR Digitalization team.
Independently build and own prototypes and proof-of-concepts from concept through validation with high-quality delivery.
Leverage AI-assisted engineering to accelerate development, debugging, and problem solving, and document technical specifications and outcomes.
4–6 years of professional experience in software design and development.
Bachelor’s or Master’s degree in Biomedical Engineering, Computer Science, Electronics, or related discipline.
Strong programming skills in Python; experience with C# and C++ desirable.
Hands-on experience in Machine Learning or CUDA, preferably applied to image or signal processing.
Experienced in medical imaging data formats (e.g., MRI, DICOM) and familiarity with Docker/Containerization and cloud platforms like Azure DevOps.
Capable of end-to-end ownership in software prototype development and innovation projects.
Strong analytical, systems-thinking skills with ability to solve complex technical problems independently.