Remote Senior Software Engineer, Algorithms

Summary

Join our team at HeartFlow, Inc., a medical technology company advancing the diagnosis and management of coronary artery disease, to work on innovative algorithmic solutions that enhance healthcare. As a Senior Software Engineer, you will architect and develop scalable, high-performance algorithmic solutions for healthcare products, lead regulatory submission efforts, integrate and deploy machine learning models into production environments, drive MLOps practices, collaborate cross-functionally with Research, Product Management, Clinical Teams, and Engineering to transform clinical needs into effective software solutions, champion software best practices, lead technical projects from conception to deployment, foster team growth through technical leadership, pair programming, and knowledge sharing, optimize system performance, diagnose and resolve complex technical issues across distributed systems.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Experience collaborating directly with clinical and research teams to develop software solutions addressing real-world medical challenges
• Deep knowledge of statistical methods, image optimization techniques, and advanced visualization tools
• Familiarity with HIPAA compliance and data security best practices in healthcare
• Certifications in AWS, GCP, or other relevant cloud platforms
• Contributions to open-source projects or publications in relevant technical or clinical fields