Software Engineer Intern (ML Ops / Compute Migration)

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 500,000 patients worldwide.  

We are looking for a motivated Software Engineering Intern to join our Machine Learning(ML) Engineering and MLOps team in our San Francisco office. In this role, you will work alongside senior engineers and research scientists on a scoped project contributing to HeartFlow's transition toward a cloud-native, unified ML pipeline. You will get hands-on exposure to cardiac AI technologies, software architecture, and validation approaches used to run algorithms at scale. You will be assigned to a project that spans across computational geometry, microservices, and inference pipeline architectures.

Required Qualifications

• Actively pursuing a Bachelor's Degree (rising juniors and seniors preferred) in Computer Science, Data Science, Mathematics, or Engineering
• Coursework or project experience in image processing or computational geometry.
• Exposure to algorithmic/scientific development and/or deep learning applications.
• Proficiency in Python with strong foundations in class design and object-oriented programming.
• Strong foundations in data structures and algorithms.
• Excellent communication and collaboration skills.

How You Stand Out

• Proficiency in modern C++ (C++11 and up)
• Exposure to cloud environments (AWS, GCP, Azure).
• Familiarity with containerization technologies (e.g., Docker).
• Exposure to build/package management tools (e.g., Conan, poetry/uv) or infrastructure-as-code frameworks (e.g., AWS CDK)
• Exposure to the use of Gen AI for software development.
• Previous internship experience in software development

A reasonable hourly rate estimate for this position is $45 to $60.

 #LI-DNI

Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.   Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.   Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with “@heartflow.com” and B) the position described is found on our careers site at www.heartflow.com/about/careers/.