Software Engineer, Algorithms

Posted 15 Days Ago
3 Locations
Remote
108K-181K Annually
3-5 Years Experience
Healthtech
The Role
As a Software Engineer at HeartFlow, you will develop scalable algorithmic solutions for healthcare products, collaborate with cross-functional teams, and enhance the cloud platform. Responsibilities include algorithm development, participating in DevOps tasks, and optimizing production systems.
Summary Generated by Built In

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 a passionate Software Engineer eager to create innovative algorithmic solutions that enhance healthcare. This role focuses on hands-on algorithm development with opportunities to engage in cloud and DevOps tasks, contributing to the evolution of our healthcare platform to deliver impactful patient outcomes. If you have a strong foundation in algorithm design and enjoy tackling technical challenges in a collaborative environment, we invite you to join our team.

Why Join Us:

You’ll work on products that directly improve patient care. You'll have the opportunity to tackle complex challenges at the intersection of algorithmic development and cloud computing, learn from experienced professionals, and contribute meaningfully to healthcare outcomes.

What You’ll Do:

  • Develop scalable and performant algorithmic solutions for healthcare products, focusing on image processing and scientific visualization.
  • Collaborate cross-functionally with Research, Product Management, and Engineering teams to transform prototype algorithms into production-ready solutions.
  • Participate in software best practices, including testing, CI/CD, DevOps, and agile methodologies to ensure code quality, reliability, and efficiency.
  • Contribute to technical projects, balancing algorithm development with learning about cloud infrastructure responsibilities.
  • Engage in team growth through pair programming, code reviews, and knowledge sharing.
  • Assist in improving our cloud platform by contributing to AWS service utilization, DevOps automation, and system optimization.
  • Support production deployments, document solutions, and help optimize infrastructure for scalability and performance.
  • Help diagnose, troubleshoot, and resolve technical issues across distributed systems under guidance.

Required Qualifications:

  • Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
  • Proficiency in modern C++ and Python programming languages.
  • Basic understanding of cloud infrastructure, particularly AWS or similar cloud services.
  • Familiarity with software development best practices: testing, CI/CD, DevOps, and agile methodologies.
  • Experience with or willingness to learn infrastructure-as-code tools such as Terraform, Chef/Ansible, and orchestration tools like GitHub Actions.
  • Good troubleshooting and diagnostic skills.
  • Exposure to containerization technologies (Docker, Kubernetes) is a plus.
  • Strong collaborative and communication skills.

How You Stand Out:

  • Experience or coursework in medical imaging, computer vision, or 3D computational geometry.
  • Familiarity with developing software in regulated environments (FDA, MDR) is a plus.
  • Interest in cloud-based ML model deployment and collaborating with ML research teams.
  • Knowledge of statistical methods, image optimization techniques, or visualization tools.

A reasonable estimate of the base salary compensation range is $108,000 to $152,082 (for all locations outside San Francisco Bay Area) and $119,000 to $181,475 (for San Francisco Bay Area), cash bonus, and stock options.

HeartFlow, Inc. is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at HeartFlow, including recruitment, hiring, training, relocation, promotion, and termination.

 

Positions posted for HeartFlow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.

Top Skills

C++
Python
The Company
Austin, TX
299 Employees
On-site Workplace
Year Founded: 2007

What We Do

HeartFlow is a medical technology company transforming the way cardiovascular disease is diagnosed and treated. With our HeartFlow Analysis, a non-invasive personalized cardiac test, physicians are able to make better care decisions for their patients with suspected coronary artery disease--the number one killer of men and women worldwide. HeartFlow is backed by decades of scientific research and development and leverages the latest advancements in technology to help set a new standard of care for diagnosing cardiovascular care worldwide.

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