[Remote] Principal Imaging and AI Engineer, Medical Imaging

Note: The job is a remote job and is open to candidates in USA. Elucid is a medical technology company using AI to support cardiovascular care. The Principal Imaging and AI Engineer will design and productionize classical image processing algorithms, set technical direction for imaging architecture, and build high-performance systems that deliver clinically meaningful insights to physicians.

Responsibilities

• As a Principal Imaging and AI Engineer, you'll design our classical image processing algorithms and own them all the way into production
• You’ll set technical direction for our image processing architecture, mentor engineers, and influence design decisions across teams
• You’ll build the high-performance C++ pipelines and services that process large volumetric imaging datasets, partnering with machine learning and visualization engineers to ensure your work fits seamlessly into our platform
• Your work will put clinically meaningful insights into physicians’ hands, helping them to better understand and treat cardiovascular disease with their patients

Skills

• 7+ years of experience developing classical image processing algorithms and integrating them into commercial software
• Hands-on experience with CT/CTA or other volumetric medical imaging data, including segmentation and registration techniques, and familiarity with standards such as DICOM
• Strong modern C++ skills and a solid foundation in software design principles and patterns (e.g., object-oriented design, template-based generic programming)
• Experience optimizing software for performance, including algorithmic efficiency, memory usage, file I/O, and parallel execution, using tools and techniques such as multithreading and profiling
• A track record of building maintainable production systems in collaborative, fast-paced engineering environments
• Enthusiasm for working at the intersection of image processing, machine learning, and scalable software systems
• CUDA or other GPU programming experience and familiarity with machine learning are a plus

Benefits

• For local candidates in Greater Boston, hybrid work with regular in-office collaboration. Boston-area employees are encouraged to work from the office on Mondays and Wednesdays, with the option to come in additional days if they prefer.
• Candidates outside of the Boston area are invited to apply as fully-remote employees. Fully remote employees outside the Boston area come in as needed.

Company Overview

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