Find a jobRecruiters

Principal Software Engineer - Image Processing

Exclusive opportunity

Hybrid

Principal Software Engineer - Image Processing

Elucid

Principal Software Engineer - Image Processing

Skills

Machine Learning

1 month ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Contract type:

Permanent

Location:

Boston, MA, USA

Work mode:

Hybrid

Published on:

17 September 2026

What they need


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 Principal Software Engineer - Image Processing, you will help design and 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:

  • 7+ 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
  • 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

Work Location

  • For local candidates in Greater Boston, we operate in a hybrid model with regular in-office collaboration. Candidates outside of the Boston area are invited to apply as fully-remote employees

Salary Range:

  • The anticipated base salary range for this position at Elucid is $180,000-$215,000. 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

Other offers great for you!

These companies are also looking for great profiles

Salutech

Ingénieur Logiciel IA

Freelance

Paris, France

Onsite, Hybrid

Skills

DockerPythonTesting & QAKubernetesSoftware refactoringCI/CDObservabilityAsynchronous programming

6 days ago

Quick apply

Fakto

AI Software Engineer

€70k–€90k

Permanent contract

Neuilly-sur-Seine, France

Hybrid

Skills

LLMs / Large language modelsBackend DevelopmentDevOpsAWSTerraform

19 hours ago

Quick apply

Fakto

AI Software Engineer

€70k–€90k

Permanent contract

Paris, France

Hybrid

Skills

LLMs / Large language modelsBackend DevelopmentDevOpsAWSTerraform

15 hours ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools