elucid

Senior Software Engineer, Image Processing

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At a Glance

Location
Boston, Massachusetts, United States
Employment
internship
Experience
3+ years
Compensation
or this position at Elucid is $145,000-$170,000. Compensation will be influen

Key Requirements

Required Skills

Machine Learning

Domain Knowledge

  • Clinical
  • Education
  • Engineering
  • Healthcare
  • Medical

Compensation & Benefits

The anticipated base salary range for this position at Elucid is $145,000-$170,000. Compensation will be influenced by a wide array of factors including but not limited to internal pay equity, job-related knowledge, skills, education, relevant experience, certifications, and geography as outlined in the job description.

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At Elucid, we believe the best work happens in a flexible hybrid environment. 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. Fully remote employees outside the Boston area come in as needed.

We are an equal opportunity employer and value diversity at Elucid. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

We understand that self-doubt can sometimes prevent great candidates from applying. If you believe you can make an impact at Elucid, even if you don’t meet every qualification, we encourage you to apply!

Responsibilities

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.

The ideal candidate will have:

3+ years of experience developing image processing algorithms and software, ideally for medical or clinical products.

About the Company

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.

The ideal candidate will have:

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.