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

About the role

Join the Computed Tomography (CT) High-Performance Computing team and help build the future of medical imaging. Your work will reach clinicians and patients in Philips CT scanners around the world.

Responsibilities

• Design and develop our next-generation, GPU-accelerated platform architecture.
• Partner with architects, engineers, physicists, and stakeholders to translate complex signal and image processing algorithms into scalable, high-performance implementations—balancing image quality against computational cost.
• Collaborate with CT platform teams to design, develop, test, maintain, and deploy an industry-leading CT reconstruction software platform.
• Analyze algorithm specifications and prototypes to identify efficient compute designs.
• Apply AI both ways—using AI-assisted development to speed feature delivery, and building learned models that approximate expensive physics with fast, accurate equivalents.
• Deliver solutions with a strong focus on end users, quality (QMS/regulatory standards), performance, safety, and security.

Requirements

• A bachelor’s degree or higher in Computer Science, Electrical or Computer Engineering, Mathematics, Physics, Biomedical Engineering, or a related field.
• A minimum of 5+ years of professional experience developing and maintaining complex software systems in C++.
• Proficient in image and signal processing.
• Experience with GPU programming (CUDA, OpenCL, or HIP), or adaptable and eager to transition into GPU-centric development.
• Energized by performance engineering—profiling, parallelization, and squeezing every last bit of throughput from modern GPUs.
• Curious about applying machine learning to accelerate scientific or physics computation.
• Ability and desire to collaborate closely with CT global development teams across the world.

Qualifications

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

Skills

• Strong C++ proficiency.
• Experience with GPU programming (CUDA, OpenCL, or HIP).
• Proficiency in image and signal processing.
• Experience with MATLAB and Python.
• Curiosity about applying machine learning to accelerate scientific or physics computation.
• Collaboration skills with CT global development teams.

Benefits

• Comprehensive Philips Total Rewards benefits program, including a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement, and much more.

Pay

The pay range for this position in Orange, OH is $114,750 to $183,600.00. The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.

Schedule

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.