Medical Devices & Equipment Job Description
Key Responsibilities
• Feature and Algorithm Development: Implement MRI application feature, Design, implement, and maintain application services and APIs
• Deep Learning Recon: Build and train reconstruction networks (UNet/VarNet/physics-guided, score-based) using PyTorch/TF
• Performance Optimization: Improve performance, reliability, observability, and developer tooling, GPU/CUDA acceleration, multithreading, memory optimization for real-time/near–real-time recon
• Data Pipeline: Handle k-space data, calibration, coil combination, ESPIRiT maps, bias correction, post-processing
• Engineering Excellence: Write clean, testable code; unit/integration tests; CI/CD; containerization and deployment
• Standards & Integration: Work with DICOM/ISMRMRD; integrate with Gadgetron/BART/internal platforms
• Validation & Translation: Partner with MR physicists and clinicians for experiments, benchmarking, and productization
• Collaborate on architecture, technical roadmaps, and cross-team initiatives
• Participate in agile processes: planning, estimation, retros, and on-call (as needed)