Cleerly provides AI-powered analysis of 3D coronary CT angiography (CCTA) to enable accurate, non-invasive diagnosis and risk stratification for coronary artery disease. The platform analyzes CT…
Cleerly provides AI-powered analysis of 3D coronary CT angiography (CCTA) to enable accurate, non-invasive diagnosis and risk stratification for coronary artery disease. The platform analyzes CT…
Core offering: AI-driven analysis of coronary CT angiography (CCTA) for quantitative coronary artery disease phenotyping
Mission: Eliminate heart attacks by creating a new standard of care for diagnosis of heart disease
Founded / HQ: Founded 2017; headquartered in Denver, Colorado
Regulatory status: Offers FDA-cleared algorithms
Reported total funding: Approximately $417.8M (company-reported and press figures vary by round)
Company Overview
Problem Domain
Diagnosis and phenotyping of coronary artery disease to prevent heart attacks
Founded
2017
Industry
Medical Equipment Manufacturing
Funding Track Record
Series B- June 2021
43000000
Series B reported at $43M
Series C- 2024
223000000
Company press materials reported a $223M Series C bringing total to $279M
Series C extension- December 4, 2024
106000000
Reported as a $106M extension led by Insight Partners with participation from Battery Ventures
Investor Signal
“Institutional and crossover investor interest, including Insight Partners, Battery Ventures, T. Rowe Price, Fidelity, Vensana Capital, and other healthcare investors”
Founders
What we do
Join the Team
Software Engineer
RemoteUnited States, US
Remote • United States, US
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Who you are
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)
5–8 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)
Demonstrable capability in designing, implementing, and securing RESTful web services
Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)
Experience with AWS, GitHub, and continuous integration pipelines
Proven track record of delivering scalable systems in production environments
Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability
Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)
Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders
Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements
Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing
What the job involves
Benefits
Comprehensive benefits package to support your health, growth, and work-life balance
Choose from a variety of medical, dental, and vision plans that suit your needs
We also offer an Employee Assistance Program (EAP)
Flexible self-managed PTO
Company holidays, including the week between Christmas Eve & New Year's Day, so you can recharge
401K with company match
Generous parental leave
Monthly stipends for WiFi/Internet and wellness
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We're seeking a Software Engineer 3 to drive key technical initiatives across our computational imaging pipeline
In this high-impact role, you'll be part of the team owning the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end
You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture
You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging
We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis
Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products
Build and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms
Contribute to the system architecture's design and make pragmatic trade-offs that balance performance, security, and maintainability
Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability
Support the high availability and observability of our services; improve alerting, logging, and incident response across the stack
Uphold strong engineering standards via code reviews, technical mentorship, and design documentation
Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation
Implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards
Support your professional growth with annual stipends for learning and development
