Software Engineer, HeartFlow

• 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
• 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

Desirable

• 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
• 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