Software Engineer at GE Healthcare

Seattle, Washington, United States

GE Healthcare Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, AI, Medical DevicesIndustries

Requirements

  • Bachelor’s degree or equivalent practical experience in Computer Science, Engineering, or a related technical field
  • 3-5+ years of experience working as a software engineer, with a proven track record of working with software development kits (SDKs) and client-side applications
  • 3-5+ years of experience in C++ development, with a focus on SDKs or embedded systems
  • Proficiency in Python, especially for understanding and translating ML pipelines
  • Familiarity with mobile development constraints (iOS/Android) and cross-platform build systems
  • Strong debugging and performance profiling skills
  • Experience with AI/ML integration or development within software systems is highly preferred
  • Experience with model quantization, pruning, or hardware acceleration (e.g., Metal, NNAPI) (preferred)
  • Experience deploying ML models using ONNX Runtime, TensorFlow Lite, or similar frameworks (preferred)
  • Familiarity with medical imaging or real-time signal processing (preferred)
  • Exposure to CI/CD pipelines for ML model validation and SDK packaging (preferred)

Responsibilities

  • Port ML models (primarily PyTorch and TensorFlow, exported to ONNX) into our C++ SDK
  • Translate and optimize Python-based postprocessing logic into performant C++ code
  • Collaborate with ML scientists to understand model behavior and ensure fidelity in deployment
  • Optimize inference performance for mobile and desktop platforms, considering memory, latency, and compute constraints
  • Maintain clean, modular C++ APIs that expose ML functionality to client applications
  • Write unit and integration tests to validate model outputs and SDK stability
  • Participate in architectural discussions and provide technical guidance to help the team make well-informed decisions regarding feature implementation
  • Write clean, maintainable, and well-documented code, with an emphasis on scalability and performance
  • Other duties as assigned

Skills

C++
Python
PyTorch
TensorFlow
ONNX
SDK
iOS
Android
Linux
Windows
ML integration
performance optimization
unit testing
debugging
cross-platform

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

Risks

Emerging AR technologies increase competition in medical imaging.
Regulatory challenges may delay AI application expansions in healthcare.
Dependence on clinical trial success for new product market positioning.

Differentiation

GE Healthcare invests $1 billion annually in R&D for product innovation.
The company supports over 300,000 patients daily with its healthcare technologies.
GE Healthcare's AIR Recon DL offers 3D motion-insensitive imaging for enhanced MRI quality.

Upsides

Acquisition of Caption Health expands AI-powered ultrasound capabilities.
Successful Phase III trial of [18F]flurpiridaz enhances coronary artery disease detection.
Collaboration with Wayra accelerates digital health innovation in EMEA.

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