Optimize algorithm performance for real-time or near-real-time processing, including GPU acceleration and parallel computing
Integrate algorithms into production systems, ensuring scalability, reliability, and maintainability
Troubleshoot algorithmic issues, data inconsistencies, and performance bottlenecks
Validate algorithms using clinical datasets and collaborate on evaluation metrics and benchmarking
Document technical designs, methodologies, and workflows for knowledge sharing and reproducibility
Stay current with advancements in AI, computer vision, computer graphics, and medical imaging technologies
Collaborate with cross-functional teams (software engineers, product managers, clinicians, and researchers) to translate clinical and product requirements into technical solutions
Support the full lifecycle of algorithm development, from research and prototyping to deployment and continuous improvement
You're the right fit if
Master’s or Ph.D. in Computer Science, Biomedical Engineering, Computer Graphics, Applied Mathematics, or related field
10+ years of experience in algorithm development, with a focus on image processing, computer vision, or medical imaging
Strong programming skills in C++ and/or Python
Solid foundation in data structures, algorithms, and numerical methods
Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience with medical imaging data formats and toolkits (e.g., DICOM, ITK, VTK)
Familiarity with 2D/3D visualization techniques and graphics pipelines
Hands-on experience in medical image visualization algorithms (e.g., volume rendering, MPR, 3D reconstruction, or interactive visualization systems)
Experience with performance optimization (e.g., CUDA, OpenCL, multithreading)
About Philips
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If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.