Senior UI Engineer for Medical Desktop Apps & AI

GE HealthCare (United States)

Waukesha (WI)

On-site

USD 120,000 - 160,000

Full time

11 days ago

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Job summary

GE HealthCare in Wisconsin seeks a hands-on software engineer to own UI/software feature implementation for the Mac-Lab/CardioLab platform. You will contribute to design decisions, work closely with a global team, and ensure high-quality, regulatory-compliant medical software.

You will apply C++, Windows UI frameworks, and AI-enabled development to deliver robust clinical capabilities, signal processing, and documentation enhancements in a fast-paced environment.

Qualifications

  • Bachelor's Degree in Computer Science or STEM with minimum 7 years of software development experience.
  • Strong C++ development experience on Windows.
  • Proficiency with MFC UI programming.
  • Experience with Windows desktop apps using Qt or .NET MAUI or similar UI frameworks.
  • Experience using C# for feature development.
  • Experience using AI in day-to-day software development with company-approved AI tools.

Responsibilities

  • Own feature development in Mac-Lab/CardioLab product and advance product technology.
  • Lead UI updates including signal drawing and influence product architecture.
  • Contribute to architecture/design decisions and roadmap planning.
  • Develop, verify, and maintain features from design through implementation.
  • Collaborate with global teams while adhering to quality/regulatory requirements.

Skills

C++ development
Windows
MFC
Qt
C#
AI in development
multithreaded software
UI design
GDI/Direct2D
Visual Studio
Git

Education

Bachelor's Degree in Computer Science or STEM

Tools

MAUI/.NET
GIT

Job description

GE HealthCare in Wisconsin seeks a hands-on software engineer to own UI/software feature implementation for the Mac-Lab/CardioLab platform. You will contribute to design decisions, work closely with a global team, and ensure high-quality, regulatory-compliant medical software.

You will apply C++, Windows UI frameworks, and AI-enabled development to deliver robust clinical capabilities, signal processing, and documentation enhancements in a fast-paced environment.

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