Elucid
Elucid is seeking a Principal Imaging and AI Engineer to design and implement classical image processing algorithms for cardiovascular care, driving better patient outcomes and reduced healthcare costs. The role involves setting technical direction for image processing architecture, mentoring engineers, and building high-performance C++ pipelines for volumetric imaging datasets. This position requires collaboration with machine learning and visualization teams to integrate clinically meaningful insights into the platform.
Headquarters
Boston, Massachusetts, United States
Company Size
51-200 employees
Founded
2013
Elucid develops medical imaging software that visualizes lesion-level plaque composition to help clinicians and researchers assess atherosclerotic disease. Their platform analyzes cardiovascular imaging (e.g., CT angiography and intravascular modalities), segments lesions, quantifies plaque components (lipid, fibrous, calcified) and produces lesion-level maps and longitudinal comparisons. The tools integrate into clinical workflows and research pipelines to support diagnosis, risk stratification, and treatment planning. Elucid primarily serves cardiology teams, imaging core labs, and clinical trials that need reproducible, quantitative plaque analysis.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Elucid.
21% above the average for this role