Senior Software Engineer at GE Healthcare

Beijing, Beijing, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Medical TechnologyIndustries

Requirements

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 profiling
Self-driven, outcome-oriented, turning research code into production
Strong communication and cross-disciplinary collaboration
Documentation and experiment reproducibility mindset

Responsibilities

Design, implement, and optimize MRI image reconstruction algorithms and software (classical methods: FFT/parallel imaging/compressed sensing; deep learning-based reconstructions)
Collaborate with physics, clinical, and platform teams to translate prototypes into clinical-grade products
Implement MRI application features
Design, implement, and maintain application services and APIs
Build and train reconstruction networks (UNet/VarNet/physics-guided, score-based) using PyTorch/TF
Improve performance, reliability, observability, and developer tooling (GPU/CUDA acceleration, multithreading, memory optimization for real-time/near-real-time recon)
Handle k-space data, calibration, coil combination, ESPIRiT maps, bias correction, post-processing
Write clean, testable code; unit/integration tests; CI/CD; containerization and deployment
Work with DICOM/ISMRMRD; integrate with Gadgetron/BART/internal platforms
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)

Skills

C++

PyTorch

TensorFlow

CUDA

MRI

Deep Learning

UNet

VarNet

Signal Processing

Linear Algebra

Optimization

Fourier Transform

DICOM

ISMRMRD

Gadgetron

BART

CI/CD

Containerization

Multithreading

GPU Acceleration

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters

1892Year Founded

N/ACompany Stage

Data & Analytics, HealthcareIndustries

10,001+Employees