Senior Software Engineer, Radformation

• Bachelor's degree in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or a related technical field
• Minimum of 5 years of professional software engineering experience
• Strong proficiency in C# and WPF with experience developing production desktop applications
• Experience working with DICOM data — including network operations or file processing — and 3D medical imaging
• Experience with geometric computing, numerical methods, coordinate systems, spatial transformations, and performance-oriented software development
• Strong analytical, mathematical, and problem-solving skills
• Excellent written and verbal communication skills
• You enjoy solving complex mathematical and computational problems
• You balance algorithmic innovation with practical software engineering
• You collaborate effectively across technical, clinical, and product disciplines
• You take ownership of your work and write maintainable, well-tested code
• You are curious, adaptable, and committed to continuous learning

Desirable

• In this role, you will help advance treatment accuracy and efficiency by building software for Radformation's adaptive radiation therapy efforts
• The work sits at the intersection of medical imaging, geometric computing, numerical methods, and desktop software engineering
• Success requires strong algorithmic thinking, performance-aware implementation, and the ability to translate complex clinical concepts into reliable software
• You'll work closely with physicists, product leaders, and engineers; your work will directly influence treatment decisions at the point of care
• Design, develop, and maintain features supporting adaptive radiotherapy workflows: DICOM integration, image registration, dose visualization, DVH evaluation, and machine positioning
• Build and optimize algorithms for 3D image processing, coordinate transforms, deformable registration, and dose sampling on deformed anatomy
• Develop performant, reliable WPF desktop software operating under near real-time constraints
• Integrate with oncology information systems via DICOM networking and related clinical interfaces
• Collaborate with physicists and product leaders to translate clinical requirements into production software
• Contribute to architecture, testing, code reviews, and technical decision-making
• Support teammates through collaboration, mentorship, and knowledge sharing