CT Image Reconstruction Engineer (GPU/AI)

GE HealthCare; Waukesha (WI); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

GE HealthCare is seeking software engineers to advance CT image generation algorithms and software platforms. You will implement reconstruction techniques, including deep learning, on GPUs to optimize performance and accuracy in medical imaging devices.

The role focuses on turning research prototypes into production software for next-generation CT scanners, balancing image quality with computational efficiency and reliability in clinical workflows.

Qualifications

• Bachelor’s degree in computer science, engineering, or a related STEM field, or equivalent experience.
• Strong analytical, mathematical and problem-solving skills
• Proficiency in C++ on Linux; comfort with Git and CI/CD
• Familiarity with GPU technologies; CUDA or OpenCL

Responsibilities

• Take reconstruction algorithms from research prototype to production running inside the scanner leveraging latest high-performance computing hardware (GPGPU/multicore CPU)
• Minimize software errors by applying right software engineering principles and design thinking
• Chase image quality and performance problems that cross algorithm, hardware, and system boundaries.
• Collaborate with cross-functional teams to continuously improve the CT products and how we work
• Build expertise, take ownership of complex problems, show accountability while understanding business success is achieved as a team.

Skills

C++ on Linux

Analytical thinking

Problem-solving

GPU familiarity

Education

Bachelor’s degree in computer science/engineering or related STEM field

Tools

Git

CI/CD

CUDA/OpenCL

Job description

GE HealthCare is seeking software engineers to advance CT image generation algorithms and software platforms. You will implement reconstruction techniques, including deep learning, on GPUs to optimize performance and accuracy in medical imaging devices.

The role focuses on turning research prototypes into production software for next-generation CT scanners, balancing image quality with computational efficiency and reliability in clinical workflows.