Software Engineer, Algorithms - Remote

Overview

HeartFlow, Inc. 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 FFR_CTAnalysis—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 (FFR_CTAnalysis), 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 VC-backed company 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 350,000 patients worldwide.

In Short

• Develop and enhance algorithmic solutions for healthcare products.
• Collaborate with Research, Product Management, and Engineering teams.
• Promote software best practices including testing and CI/CD.
• Manage cloud infrastructure using AWS and DevOps tools.
• Work within regulated environments ensuring compliance and quality.
• Open to all experience levels, from recent graduates to seasoned engineers.
• Proficiency in C++ and/or Python is essential.
• Strong communication skills and self-driven attitude required.
• Exposure to 3D computational geometry is a plus.
• Commitment to robust testing practices is necessary.

Requirements

• BS in Computer Science or equivalent practical experience.
• Familiarity with AWS and configuration tools like Terraform.
• Experience with containerization (Docker, Kubernetes).
• Understanding of compliance and quality requirements in regulated fields.
• Skills in data analysis and statistical methods are beneficial.
• Experience in biomedical or healthcare is a plus.
• Familiarity with ML model deployment is advantageous.
• Broader experience in image optimization techniques is helpful.

Benefits

• Work on products that directly improve patient care.
• Tackle complex challenges in a collaborative environment.
• Opportunity for professional growth and development.
• Engage in innovative projects at the intersection of technology and healthcare.