Software Engineer Intern (ML Ops / Compute Migration)

<div class="content-intro"><p>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 FFR_CT&nbsp;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 (FFR_CT&nbsp;Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis).&nbsp;Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.</p> <p>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.&nbsp;&nbsp;</p></div><p><u>Job Description</u>:&nbsp;</p> <p>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.</p> <p><u>Skills Needed:</u></p> <ul> <li>Experience with modern C++ (C++-11 and up) and Python.</li> <li>Exposure to algorithmic/scientific development and/or deep learning applications</li> <li>Exposure to cloud environments (AWS, GCP, Azure) a plus.</li> <li>Exposure to the use of GenAI for software development.</li> <li>Excellent communication and collaboration skills.</li> </ul> <p><u>Educational Requirements &amp; Work Experience:</u>&nbsp;</p> <ul> <li>Pursuit of a degree in Computer Science, Data Science, Mathematics, or Engineering required.&nbsp;</li> </ul> <p><span style="font-weight: 400;">A reasonable hourly rate estimate for this position is $45 to $60.</span></p> <p><span style="font-weight: 400;">&nbsp;#LI-DNI<br></span></p><div class="content-conclusion"><div>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.</div> <div>&nbsp;</div> <div>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.</div> <div>&nbsp;</div> <div>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&nbsp;<a href="https://www.heartflow.com/about/careers/">www.heartflow.com/about/careers/</a>.&nbsp;</div></div>