Sobre esta vaga de Software Engineer - Medical Applications & Algorithms na Heartflow
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.
Join our mission to transform coronary artery disease from the leading cause of death into a condition that can be proactively managed for life. You will work on life-saving technology at the intersection of AI, physics, and medicine, delivering the personalized care that defines the next era of heart health.
If you are passionate about writing innovative software, come join our world-class engineering team! You will work in cross-functional teams to deliver the future generations of our technology:
- Cloud-based algorithmic pipelines for image and geometry processing (C++, Python, docker)
- Interactive 3D graphical software (C++, Web)
Job Responsibilities
We are looking for candidates who care deeply about software quality and teamwork, and who possess a strong engineering mindset. You will help us:
- Design, implement, document, and validate algorithmic component software
- Improve our infrastructure and tooling: algorithmic pipelines, test frameworks and CI/CD pipelines
- Improve the modularity and testability of algorithmic components, through careful design, specifications and associated tests
- Participate in cross-functional efforts such as clinical validations and releases of the software
- Collaborate on the development and deployment of AI-driven tools and workflows to enhance engineering productivity, while ensuring that all AI-assisted code meets the rigorous safety, validation, and documentation standards required for medical device development.
- Maintain compliance with medical device software quality standards (e.g. FDA, ISO 13485, IEC 62304) throughout the development lifecycle
- Provide production support
You will help us build the right technology, and build it right!
Qualifications required
- Minimum Bachelor’s degree in Computer Science or related is required; Master’s or PhD preferred. Equivalent industry experience may be substituted for advanced degrees
- 2+ year(s) of relevant industry experience in a software company
- Experience with Python development
- Experience with modern C++ (C++-11 and up)
- Understanding of software development best practices: testing, CI/CD, agile methodologies
- Excellent communication and collaboration skills
- Experience effectively leveraging AI-assisted coding tools to accelerate development, with the discipline to critically review and maintain a deep understanding of the generated code to ensure system integrity
How you stand out
- Experience with medical imaging, computer vision, 3d computational geometry and/or machine learning
- Experience with Typescript and three.js (and other web technologies)
- Experience with CI/CD environments (Jenkins, github, AWS Codebuild/CodePipeline)
- Experience with cloud-based infrastructure (Amazon Web Services or equivalent)
- Experience with Rust
- Experience with validation methodologies: design of experimental studies, statistical testing
A reasonable estimate of the base salary compensation range is $130,000 to $150,000, cash bonus, and equity. #LI-IB1 #LI-Hybrid
