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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 are looking for self-driven Software Engineers—ranging from entry-level to senior—who are passionate about creating innovative algorithmic solutions to improve healthcare. In this role, you’ll have the chance to work on high-impact projects at the intersection of algorithm development, cloud infrastructure, and regulated medical environments. If you have strong communication skills, enjoy tackling complex technical challenges, and want to see your work make a direct difference in patient outcomes, we encourage you to apply. #LI-Hybrid
What You’ll Do:
- Develop and Enhance Algorithmic Solutions – Design and implement scalable, high-performance algorithms—particularly for image processing and 3D geometry—to power healthcare products.
- Collaborate Across Teams – Work with Research, Product Management, and Engineering teams to transform prototype algorithms into production-ready solutions.
- Champion Software Best Practices – Promote testing, CI/CD, DevOps, and agile methodologies to ensure code quality, reliability, and efficiency.
- Manage Cloud Infrastructure and DevOps – Use AWS services, Infrastructure as Code (Terraform, Chef/Ansible), and containerization (Docker, Kubernetes) to build and optimize cloud-based solutions.
- Contribute to Regulated Environments – Work within a regulated setting, following documentation and quality processes. Verify production deployments, troubleshoot issues under time constraints, and maintain compliance standards.
What You Bring:
- Education & Experience – BS in Computer Science (or related field) or equivalent practical experience. Open to all experience levels, from recent graduates to seasoned engineers. (Senior-level candidates typically bring 5+ years of relevant experience.)
- Programming Skills – Proficiency in C++ and/or Python is essential. Comfortable with testing frameworks and CI/CD pipelines.
- Self-Driven & Communicative – Strong communication skills; able and willing to speak up with ideas or concerns. Ability to work independently while knowing when to seek collaboration.
- 3D Geometry Base Knowledge – Exposure to 3D computational geometry or a willingness to learn.
- Infrastructure as Code & Cloud – Familiarity with AWS (or equivalent cloud providers) and configuration tools (Terraform, Chef, Ansible). Experience with containerization (Docker, Kubernetes) and orchestration (GitHub Actions or similar).
- Testing Mindset – Commitment to robust testing practices, with a willingness to invest time in writing and maintaining test suites.
- Regulated Environment Readiness – Understanding of—or willingness to learn—compliance, documentation, and quality requirements in medical or similarly regulated fields.
What Helps You Stand Out:
- Statistical Analysis – Skills in data analysis, statistical methods, or advanced mathematics.
- Medical/Biomedical Background – Experience or academic background in biomedical, healthcare, or cardiology.
- Machine Learning & Research – Familiarity with ML model deployment, working with research teams to scale and productize solutions.
- Computer Vision & Image Processing – Broader experience in image optimization techniques, medical imaging, or computer vision algorithms.
Why Join Us:
You will work on products that directly improve patient care and clinical outcomes. You'll tackle complex challenges at the intersection of algorithm development, machine learning, and cloud computing within a regulated environment. Join our team to advance healthcare technology, lead innovative projects, and grow professionally in a collaborative and dynamic setting.
A reasonable estimate of the base salary compensation range is $130,000 to $200,000 (for San Francisco Bay Area), cash bonus, and equity. #LI-Hybrid
