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 productan AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysisprovides a color-coded, 3D model of a patients 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 (RoadMapAnalysis), 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.
The Test Engineer is a hands-on individual contributor on the Test Engineering team, responsible for executing and extending automated test coverage across our regulated SaMD products. This role focuses on end-to-end system testing and post-deployment verification, working closely with and taking technical direction from the Test Architect and Senior Test Engineer while bringing fresh energy and fluency in modern AI-assisted tooling to accelerate the team's automation strategy. We're looking for someone genuinely excited by new testing technology, someone who will experiment with the latest AI-assisted authoring, self-healing, and triage tools, bring ideas back to the team, and help the function move faster, all while operating with the rigor required of a medical device QMS environment. The ideal candidate is comfortable with modern UI automation frameworks (Selenium and Playwright), motivated to grow their depth in regulated software testing, and driven by the chance to ship high-quality software that directly supports patient care.
Responsibilities
- Build and maintain automated end-to-end (E2E) tests covering complete user workflows across UI, API, and back-end services, under the technical direction of the Test Architect and Senior Test Engineer.
- Actively explore and apply AI-assisted test automation techniques AI-assisted authoring, self-healing locators, generative test design, and AI-supported triage and bring back recommendations on new tools and approaches worth adopting team-wide.
- Execute post-deployment verification activities such as production smoke tests and monitoring-driven checks, including contributing to a new baseline of daily smoke tests across environments.
- Contribute to test plans, test protocols, and test reports under the guidance of senior engineers, ensuring documentation meets QMS expectations.
- Participate in tool validation activities for test infrastructure and automation tooling per internal procedures.
- Implement and maintain UI test automation using Selenium and Playwright; follow established framework patterns and contribute improvements and modernization ideas.
- Develop API-level tests using tools such as REST Assured, Postman, Karate, Pact.io.
- Translate requirements and user stories into clear, traceable test cases in partnership with engineers, product, and RA/QA.
- Investigate test failures, file high-quality defect reports, and partner with developers to drive issues to resolution.
- Help keep automated tests running reliably in CI/CD pipelines and respond promptly to pipeline breakages.
- Provide test evidence and documentation to support audits, CAPAs, and regulatory submissions as requested.
- Partner closely with the Test Architect and Senior Test Engineer to learn HeartFlow's ML pipeline, clinical computation services, and Workstation/reporting systems, and grow into owning larger pieces of the automation strategy over time.
Qualifications
- 35 years of experience in software test engineering, SDET, or quality engineering roles, with a hands-on automation focus.
- Genuine enthusiasm for AI-assisted and emerging test automation tools and techniques, this role is as much about mindset and curiosity as it is about existing depth.
- Experience testing Software as a Medical Device (SaMD) or other regulated medical device software preferred; strong candidates from other regulated or quality-critical environments will also be considered.
- Working familiarity with medical device QMS practices and applicable standards (e.g., ISO 13485, IEC 62304, ISO 14971, 21 CFR Part 820), including test documentation and traceability.
- Proficiency with Selenium / WebDriver and Playwright, including writing stable, maintainable UI automation.
- Hands-on experience contributing to E2E automation suites and test frameworks.
- Exposure to authoring or maintaining test plans, protocols, and reports in a regulated environment.
- Practical use of AI-assisted testing tools or techniques (e.g., AI-augmented test authoring, self-healing automation, LLM-supported triage) or strong motivation and aptitude to ramp quickly.
- Solid programming skills in Python and/or another mainstream automation language (e.g., TypeScript/JavaScript, Java, or C#).
- Experience with API testing tools (REST Assured, Postman, Karate, Pact.io or equivalent).
- Familiarity with CI/CD systems (e.g., GitHub Actions, Jenkins, GitLab CI) and basic exposure to cloud environments such as AWS.
- Strong debugging skills and a structured approach to investigating failures.
- Clear written and verbal communication; able to document test designs and defects effectively, and to advocate for new tools and ideas within the team.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Desired
- A track record of self-directed learning side projects, open-source contributions, or experimentation with new AI/testing tools.
- Exposure to RA/QA processes and supporting evidence collection for audits.
- Experience testing ML/AI features, clinical workflows, or medical imaging products.
- Experience validating visualizations such as 3D models, overlays, or measurement views.
- Familiarity with non-functional / performance testing tools (e.g., k6, Locust, JMeter, Gatling).
- Exposure to >www.heartflow.com/about/careers/.
