Software Engineer Intern (ML Ops / Compute Migration)

Heartflow•San Francisco, CA

About The Position

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. Job Description: Work with senior engineers and research scientists to assist in the migration of medical imaging AI algorithms from C++ to Python (for ML Ops) or from CPU to GPU compute (for Compute Migration). In this role you will get exposure to Cardiac AI technologies, including architecture and validation approaches, together with understanding of cloud architectures to run algorithms at scale.

Requirements

Experience with modern C++ (C++-11 and up) and Python.
Exposure to algorithmic/scientific development and/or deep learning applications
Excellent communication and collaboration skills.
Pursuit of a degree in Computer Science, Data Science, Mathematics, or Engineering required.