Senior Software Engineer, Image Processing

ElucidBoston, MA
2d$145,000 - $170,000Hybrid

About The Position

We are a rapidly growing, Boston-based medical technology company using AI to enable clinicians to make informed decisions on cardiovascular care - leading to better patient outcomes, improved quality of care, and reduced healthcare costs. Come work at Elucid and be part of delivering on our mission to prevent heart attacks and strokes! Elucid is at the forefront of quantitative imaging, tissue characterization, and atherosclerotic plaque analysis, and we’re continuing to grow our engineering organization! As a Senior Software Engineer - Image Processing, you will help build the software systems that power our AI-driven medical imaging platform. You’ll collaborate closely with machine learning and visualization engineers to bring advanced imaging algorithms into production—designing and optimizing high-performance C++ pipelines and services that process large volumetric medical imaging datasets. Your work will focus on building reliable, scalable software that transforms complex imaging data into clinically meaningful insights, enabling physicians to better understand and treat cardiovascular disease with their patients.

Requirements

  • 3+ years of experience developing image processing algorithms and software, ideally for medical or clinical products.
  • Strong modern C++ skills, along with a solid foundation in software design principles and patterns, (eg. object-oriented design and template-based generic programming).
  • Experience working with CT/CTA or other volumetric medical imaging data, including segmentation and registration techniques, as well as familiarity with standards such as DICOM.
  • Experience optimizing software for performance, including algorithmic efficiency, memory usage, file I/O, and parallel execution, with tools and techniques such as multithreading, CUDA, and profiling.
  • Experience building maintainable, high-performance production systems in collaborative, fast-paced engineering environments.

Nice To Haves

  • Industry experience with machine learning is welcome but not required.
  • Enthusiasm for working at the intersection of image processing, machine learning, and scalable software systems.
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