Software Engineer

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product—an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis—provides a color-coded, 3D model of a patient’s coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.

Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 750,000 patients worldwide.  

We are seeking a collaboratively-minded Senior Software Engineer with a foundation in statistical data analysis and algorithm development. In this role, you will lead high-impact projects in a regulated medical environment to deepen our understanding of how real-world imaging conditions impact algorithm accuracy and reproducibility. If you are passionate about directly contributing to patient outcomes and have a track record of driving new data-centric product initiatives, we look forward to reading your application.

What You'll Do:

• Build robust analytical pipelines and visualizations over population-scale data to characterize dataset distributions and algorithm performance across diverse patient populations.
• Translate findings about data variance and algorithm behavior into actionable requirements and algorithmic design recommendations.
• Formulate data annotation protocols for internal product development and FDA submissions.
• Collaborate cross-functionally with Research, Product, Clinical, and Engineering to transform clinical needs into cloud-based software solutions.
• Lead regulatory submission efforts, ensuring that software components comply with relevant regulations by working closely with quality and regulatory teams.
• Lead technical projects from conception to deployment.
• Foster team growth through technical leadership and knowledge sharing.
• Diagnose and resolve complex technical issues across distributed systems, often under time constraints.

Knowledge, Skills, and Abilities: