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 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 400,000 patients worldwide.  

We seek a highly motivated and dynamic Software Engineer who is passionate about building and deploying scalable ML systems. The successful candidate will work closely with our experienced engineers and researchers to design, build, and maintain the infrastructure and tools necessary for rapid ML development and deployment. You will gain hands-on experience with the latest technologies in machine learning and cloud computing, contributing to projects that impact our products and services, and ultimately, move the needle on heart disease. #LI-IB1

Job Responsibilities

The ideal candidate is passionate about using first-principles thinking to navigate challenging problems in algorithm and infrastructure development. You will help us:

• Partner cross-functionally with Research/Engineering/Clinical to productize early-stage algorithm prototypes.
• Develop robust algorithm development pipelines, such as automated training and evaluation routines.
• Define and implement software and algorithm validation strategies.
• Deploy and monitor algorithms in a Production environment.
• Contribute to our internal algorithm training and data platforms.

Required Qualifications

• Bachelor's/Master’s degree in Computer Science, Engineering, or a related field.
• 2+ years of relevant job experience
• Strong foundation in software engineering principles and practices, with proficiency in at least one programming language (e.g., Python, C++).
• Understanding of data structures, algorithms, and software design principles.
• Strong problem-solving skills and the ability to work independently as well as collaboratively in a team environment.
• Excellent communication and interpersonal skills.
• Familiarity with machine learning concepts and frameworks (e.g., PyTorch, scikit-learn).
• Experience with machine learning model deployment techniques.
• Experience with cloud services (AWS, GCP, Azure)
• Knowledge of containerization technologies (e.g., Docker).

How You Stand Out

• Experience with CI/CD pipelines and related tools (e.g., Jenkins, Github Actions).
• Experience with data warehouses (e.g., Redshift / Snowflake / Databricks).
• Experience with distributed computing frameworks (e.g., Ray/Spark/Dask).
• A keen interest in staying up-to-date with the latest trends and advancements in machine learning, artificial intelligence, and distributed computing.
• Demonstrated initiative and creativity in solving complex problems.
• Blog (or other media) communicating the candidate’s data science or engineering projects, ideas, or first-principles thinking.

A reasonable estimate of the base salary compensation range for the San Francisco Bay Area is $130,000 to $170,000, plus cash bonus, and stock options.