Shenyang City, Liaoning, China · On-site
Job TitleSenior Algorithm Engineer Job Description Job title: The Senior Algorithm Engineer is responsible for designing and developing advanced AI-based image processing and medical image visualization algorithms, focus…
Skills: C++, Python, Deep Learning, Computer Vision, Medical Image Processing
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Design and develop advanced AI-based image processing and 2D/3D visualization algorithms for CT imaging data. Optimize algorithm performance for real-time processing and integrate these solutions into production systems.
Requires a Master's or Ph.D. in a relevant technical field and over 10 years of experience in algorithm development. Proficiency in C++, Python, and deep learning frameworks, along with experience in medical imaging toolkits, is essential.
Job title:
The Senior Algorithm Engineer is responsible for designing and developing advanced AI-based image processing and medical image visualization algorithms, focused on 2D/3D CT imaging data, along with high-performance implementations for segmentation, recognition, and real-time rendering, adhering to best practices for performance, robustness, and scalability, working under general supervision. The role troubleshoots algorithmic and data quality issues, optimizes computational efficiency, documents methodologies for effective knowledge transfer, and communicates technical findings to both technical and clinical stakeholders. The role stays abreast of the latest advancements in computer vision, deep learning, and CT imaging technologies, collaborates with cross-functional teams to translate clinical and product requirements into actionable algorithmic solutions, and supports the full lifecycle of medical imaging algorithms to ensure reliable deployment and impactful visualization outcomes.
Design and implement advanced algorithms for medical image processing, including segmentation, detection, registration, and enhancement
Develop and optimize 2D/3D visualization techniques such as volume rendering, surface rendering, and multi-planar reconstruction (MPR)
Build AI/ML models (e.g., deep learning, computer vision) for medical imaging applications, ensuring accuracy, robustness, and generalization
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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Over the past decade we have transformed into a focused leader in health technology. At Philips, our purpose is to improve people’s health and well-being through meaningful innovation. We aim to improve 2.5 billion lives per year by 2030, including 400 million in underserved communities. We see healthcare as a connected whole. Helping people to live healthily and prevent disease. Giving clinicians the tools they need to make a precision diagnosis and deliver personalized treatment. Aiding the patient's recovery at home in the community. All supported by a seamless flow of data. As a technology company, we – and our brand licensees – innovate for people with one consistent belief: there’s always a way to make life better. Visit our website: http://www.philips.com/ Follow our social media house rules https://www.philips.com/a-w/about-philips/social-media.html
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