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.
Your role:
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
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
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.
Skills Required
- Master's or Ph.D. in Computer Science, Biomedical Engineering, Computer Graphics, Applied Mathematics, or related field
- 10+ years of experience in algorithm development focused 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 (PyTorch, TensorFlow)
- Experience with medical imaging data formats and toolkits (DICOM, ITK, VTK)
- Familiarity with 2D/3D visualization techniques and graphics pipelines (volume rendering, surface rendering, MPR)
- Hands-on experience in medical image visualization algorithms and interactive visualization systems
- Experience with performance optimization (CUDA, OpenCL, multithreading) and GPU acceleration
Philips Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Philips and has not been reviewed or approved by Philips.
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Retirement Support — Retirement support is positioned as a standout, including a strong 401(k) match (often described at 7%) alongside pensions in some contexts.
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Flexible Benefits — Flexible benefits are emphasized through choice in health insurance options and a broad “Total Rewards” approach that combines compensation, health and wellness, and work-life support.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous paid time off and policies covering parental leave, caregiving responsibilities, volunteering, and family medical leave.
Philips Insights
What We Do
Do the work of your life to help the lives of others. As a leading health technology company, it is our purpose to improve people’s health and well-being through meaningful innovation. Our goal is to improve 2.5 billion lives per year by 2030. We also strive to be the best place to work for people who share our passion, by promoting personal development, inclusion and diversity while acting responsibly towards our planet and society.






