MRI staff sw engineer | Jobs in China | Hays Recruitment China

Company Introduction

a leading global medical technology and digital solutions innovator.

Job Description

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)

Job Requirements

Qualifications• MS or PhD in CS, EE, Biomedical Engineering, Medical Physics, Applied Math, or related field• Strong math and signal processing foundation (linear algebra, optimization, Fourier/sampling theory)• Proficient in modern C++ with solid engineering practices• Knowledge of MRI reconstruction fundamentals: k-space, sampling trajectories (Cartesian/Spiral/Radial), parallel imaging• Expertise in at least one of:• Optimization/Inverse Problems: ISTA/FISTA/ADMM/PGD• Parallel Imaging: SENSE/GRAPPA/ESPIRiT• Non-Cartesian Recon: NUFFT, Toeplitz/blocked-Toeplitz approaches• Deep Learning Recon: End-to-end or physics-constrained networks, Plug-and-Play• Comfortable with Linux, Git, debugging, and performance profilingNice to Have• CUDA/CuFFT/CuBLAS, OpenMP, SIMD vectorization• Experience with git, jenkens, devops, etc.• Hands-on with real MR data and sequences (EPI, 3D GRE/SE, VIBE,• bSSFP, DWI/DTI, ASL, MRE)• DICOM/HL7, PACS/workstation integration, and medical software compliance (IEC 62304, ISO 13485)• Publications/competitions (e.g., fastMRI) or open-source contributionsSoft Skills• Self-driven, outcome-oriented, turning research code into production• Strong communication and cross-disciplinary collaboration• Documentation and experiment reproducibility mindset