Senior Software Engineer, Algorithms

HeartFlow, Inc. 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 250,000 patients worldwide.  

We are seeking an experienced Senior Software Engineer passionate about creating innovative algorithmic solutions that enhance healthcare. This role combines advanced algorithm development with expertise in regulatory submissions, image processing, machine learning operations (MLOps). Your contributions will directly impact patient outcomes by integrating cutting-edge technology with clinical applications.

Clinical understanding is a strong plus but not required.

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.

What You’ll Do:

• Architect and develop scalable, high-performance algorithmic solutions for healthcare products, focusing on image processing, computer vision, and scientific visualization.
• Lead regulatory submission efforts, ensuring that software components comply with FDA, MDR, or other relevant regulations by working closely with quality and regulatory teams.
• Integrate and deploy machine learning models into production environments, collaborating with ML researchers to productize cloud-based ML solutions.
• Drive MLOps practices, including model deployment pipelines, monitoring, and continuous improvement in a cloud environment.
• Collaborate cross-functionally with Research, Product Management, Clinical Teams, and Engineering to transform clinical needs into effective software solutions.
• Champion software best practices, including rigorous testing, CI/CD pipelines, DevOps methodologies, and agile practices to ensure code quality, reliability, and efficiency.
• Lead technical projects from conception to deployment, balancing algorithm development with cloud infrastructure responsibilities.
• Fostering team growth through technical leadership, pair programming, and knowledge sharing.
• Optimize system performance, working across applications, networks, storage, databases, and server technologies to ensure scalability and efficiency.
• Diagnose and resolve complex technical issues across distributed systems, often under time constraints.

Required Qualifications:

• Bachelor's or Master's degree in Biomedical Engineering, Bioinformatics, Medicine, Health Sciences, or a related field, with several years of professional experience, or equivalent practical experience. 
• Extensive experience in image processing, computer vision, and 3D computational geometry.
• Proven experience with regulatory submissions, developing medical software in FDA, MDR, or similarly regulated environments.
• Expertise in machine learning operations (MLOps), including deploying and managing ML models in production settings.
• Proficiency in modern C++ and/or Python programming languages.
• Strong knowledge of cloud infrastructure, particularly AWS or GCP, including service configuration and compliance qualification.
• Demonstrated experience with software development best practices: testing, CI/CD, DevOps, and agile methodologies.
• Experience with orchestration tools like GitHub Actions.
• Proficient in containerization technologies (Docker, Kubernetes).
• Excellent troubleshooting and diagnostic skills across applications, networks, and cloud environments.
• Strong clinical understanding, with the ability to translate clinical requirements into technical specifications.