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.
Location: Hybrid / San Francisco, CA
What's the role?We are looking for a Staff Software Engineer to act as the technical anchor for a small, focused team working on Data and ML infrastructure. Your work will directly support large-scale machine learning applied to precision healthcare.
This is a highly technical, player-coach role. You will set the architectural vision and guide the day-to-day technical execution of the team, remaining deeply hands-on in the codebase. Whether you are already a seasoned tech lead or a Staff Individual Contributor (IC) ready to step up and guide a sub-team of engineers, this position gives you the platform to lead technically.
This is a full-time position operating on a hybrid schedule out of our San Francisco office.
What's this team like at Heartflow?We build Data & ML infrastructure to simplify developing, evaluating, and deploying algorithms on massive medical imaging datasets. Our team owns critical platforms across the stack: data systems focused on curation and analytics, as well as our core ML environment for both training and inference.
We design our infrastructure to not just be highly performant, but also easy to use. We are proponents of self-serve interfaces and robust user documentation. Our team tackles challenging problems using first-principles thinking, and we greatly value the ability to break down complex architectural challenges into digestible, well-communicated solutions.
What does the day-to-day look like?- Act as the technical lead and mentor for a small, high-impact team of engineers, guiding system design, conducting code reviews, and unblocking technical hurdles.
- Write high-performance Python code and utilize frameworks like Ray to architect and maintain large-scale distributed computing platforms for ML training and evaluation.
- Spearhead the deployment of complex ML algorithms into highly available, scalable cloud environments, ensuring models run efficiently in production.
- Design and integrate robust cloud-data systems to manage the lifecycle of massive, unstructured medical datasets.
- Work cross-functionally with researchers and engineers to understand how they develop models, using that understanding to solve their ML training, serving, and production monitoring needs.
- Responsibly and securely utilize AI-powered development tools (like coding assistants or LLMs) to accelerate the team's engineering workflows.
- 8+ years of professional software engineering experience, with a strong focus on ML infrastructure, distributed systems, or MLOps.
- A history of mentoring peers and leading technical projects, and an excitement to act as the technical anchor for a small team of engineers.
- Ability to write clear, well-tested, and scalable code, with high proficiency in Python.
- Deep understanding of modern distributed computing architectures and how to optimize heavy compute and cloud-data workloads (AWS, GCP, or Azure).
- Familiarity with infrastructure as code (e.g., CDK, Terraform).
- Familiarity with modern distributed computing frameworks and table formats like Ray, Kubernetes, and Apache Iceberg.
- Knowledge of cross-language bindings for high-performance computing (e.g., C++/Python).
- Prior experience in the healthcare domain, highly-regulated environments, or handling image-based algorithms is a huge plus.
Salary Range: $190,000 - $250,000 base, plus cash bonus and equity.
Skills Required
- 8+ years of professional software engineering experience with ML infrastructure, distributed systems, or MLOps
- History of mentoring peers and leading technical projects; ability to act as a technical lead/anchor
- Proficiency in Python and ability to write clear, well-tested, scalable code
- Experience deploying complex ML algorithms into highly available, scalable cloud environments (AWS, GCP, or Azure)
- Deep understanding of distributed computing architectures and optimizing heavy compute and cloud-data workloads
- Familiarity with infrastructure-as-code tools (e.g., CDK, Terraform)
- Familiarity with distributed computing frameworks and table formats such as Ray, Kubernetes, and Apache Iceberg
- Knowledge of cross-language bindings for high-performance computing (e.g., C++/Python)
- Prior experience in healthcare, regulated environments, or image-based algorithms
What We Do
Heartflow is the global leader in AI-driven coronary artery disease (CAD) management, transforming how CAD — the world’s leading cause of death — is diagnosed and treated. Our advanced technology generates personalized, precision 3D heart models from a single CT scan, providing clinicians with the clarity and confidence to deliver earlier, more effective treatments — transforming CAD into a disease that can be managed for life. Heartflow One is the only complete, non-invasive, precision coronary care platform providing patient insights throughout the guideline-directed CCTA pathway. The AI-driven platform — including Roadmap™ Analysis, FFRCT Analysis and Plaque Analysis — is supported by the ACC/AHA Chest Pain Guideline and backed by more than 600 peer-reviewed publications. With over 400,000 patients treated, more than 1,400 leading institutions adopting our solution, and 99.5% of U.S. lives covered — Heartflow is redefining the standard of coronary care. We're a global company, with employees across the United States, Europe and Japan. Our headquarters are in Mountain View, California, with additional offices in California, Texas, the UK, and Japan. We believe CAD shouldn’t be a silent threat. By making it screenable, diagnosable, and manageable, we’re changing the story of CAD, empowering clinicians to save lives and giving patients more time for what matters most.
Why Work With Us
Join Us to Rewrite the Story of CAD.
