Software Engineer - Image Reconstruction (C++/CUDA)

Philips•Orange, OH

7d•$89,000 - $141,000•Hybrid

About The Position

Continue your engineering career on a team building the future of medical imaging. Join the Computed Tomography (CT) High-Performance Computing team, where you'll grow alongside experienced engineers and physicists—and see your work reach clinicians and patients in Philips CT scanners around the world. Your role: Contribute to the development of our next-generation, GPU-accelerated reconstruction platform under the guidance of senior engineers. Work alongside engineers, physicists, and other team members to implement signal and image processing algorithms in efficient, high-performance code. Write, test, document, and maintain software as part of an industry-leading CT reconstruction platform. Learn to analyze algorithm specifications and prototypes to help identify efficient compute designs. Use AI-assisted development tools to speed your work, and explore how learned models can approximate expensive physics with fast, accurate equivalents. Deliver quality software with a growing focus on end users, quality (QMS/regulatory standards), performance, safety, and security.

Requirements

Bachelor’s degree or higher in Computer Science, Electrical or Computer Engineering, Mathematics, Physics, Biomedical Engineering, or a related field.
1+ year of professional experience, including internships or co-ops, developing software in C++.
Strong foundation in C++ from coursework, projects, or work experience.
Foundation in image or signal processing.
Excited by performance—curious about profiling, parallelization, and getting the most out of modern GPUs.

Nice To Haves

Background in the theory of medical image formation.
Exposure to GPU programming (CUDA, OpenCL, or HIP).
Experience with MATLAB and Python.
Curiosity about applying machine learning to accelerate scientific or physics computation.

Responsibilities

Contribute to the development of our next-generation, GPU-accelerated reconstruction platform under the guidance of senior engineers.
Work alongside engineers, physicists, and other team members to implement signal and image processing algorithms in efficient, high-performance code.
Write, test, document, and maintain software as part of an industry-leading CT reconstruction platform.
Learn to analyze algorithm specifications and prototypes to help identify efficient compute designs.
Use AI-assisted development tools to speed your work, and explore how learned models can approximate expensive physics with fast, accurate equivalents.
Deliver quality software with a growing focus on end users, quality (QMS/regulatory standards), performance, safety, and security.