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

Build the GPU-native engine that turns raw CT physics into life-saving images inside Philips scanners worldwide, wringing maximum performance from constrained hardware at the frontier of C++, CUDA, and AI alongside world-class physicists. 

Your role: 

• Help re-architect an entire CT image-reconstruction pipeline, from raw detector physics to the final clinical image, as a fully GPU-native, massively scalable platform in C++ and CUDA. 

• Work shoulder-to-shoulder with physicists, algorithm architects, and platform engineers, translating complex signal and image-processing models into high-performance GPU implementations that balance image quality against compute cost. 

• Collaborate with CT platform teams around the globe to design, build, test, and deploy an industry-leading reconstruction software platform. 

• Push the frontier of performance engineering and applied AI by profiling, parallelizing, optimizing memory use across caches and shared memory, and pioneering learned models that replace expensive physics with fast, accurate equivalents. 

• This hybrid role is based in Cleveland, OH, with three flexible days in the office and two remote days each week. Regular travel is not typically required. 

You're the right fit if: 

• You have 5+ years of professional experience developing and maintaining complex software systems in C++. You have experience with GPU programming (CUDA, OpenCL, or HIP), or you have optimized code for resource-constrained or embedded environments and are eager to transition into GPU-centric development. 

• You bring a strong mathematical foundation, and a background in image and signal processing, including the theory of medical image formation, is a plus. You are energized by performance engineering, and enjoy profiling, parallelization, and squeezing every bit of throughput from modern GPUs. 

• You have a bachelor's degree or higher in Computer Science, Electrical or Computer Engineering, Mathematics, Physics, Biomedical Engineering, or a related field. Curiosity about applying machine learning to accelerate scientific or physics computation is a strong plus. 

• You have excellent written and verbal communication skills, able to explain complex designs, architectures, and algorithms to non-specialists. You have the ability and desire to collaborate closely with CT global development teams around the world. 

• You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.