Technical Lead - Imaging and AI Engineering

Elucid; Boston (MA); Hybrid; USD 180.000 - 215.000; Vollzeit

Zusammenfassung

Elucid is a Boston-based medical technology company leveraging AI to help clinicians make informed cardiovascular care decisions. As Tech Lead of Imaging and AI Engineering, you will design classical image processing algorithms and own them from development to production, setting the technical direction for our imaging stack.

You will mentor engineers, build high-performance C++ pipelines for large volumetric datasets, and collaborate with machine learning and visualization teams to deliver

Qualifikationen

• 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.

Aufgaben

• Design our classical image processing algorithms and own them from development to production.
• Set technical direction for our image processing architecture and mentor engineers across teams.
• Build high-performance C++ pipelines and services that process large volumetric imaging datasets.
• Partner with machine learning and visualization engineers to ensure integration into our platform.
• Deliver clinically meaningful insights to physicians by putting data into their hands.

Kenntnisse

Image processing

C++ programming

Software design

Performance optimization

Machine learning

Team collaboration

CUDA / GPU programming

Tools

DICOM

CUDA

Jobbeschreibung

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 Tech Lead of Imaging and AI Engineering, 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.

The ideal candidate will have:

• 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.

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.

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.