Software Engineer, Athelas Home

Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for “Overall NLP Company of the Year.”

About the Role

Commure is on the lookout for Software Engineers to join our Athelas Home Engineering team, playing a pivotal role in enhancing our FDA-cleared IoT medical device product. The Athelas Home is a portable device that segments and counts the hematology composition of an individual's blood. Our product captures high resolution imagery of a blood sample and utilizes an ML model to determine the concentration of white blood cells using a few drops of blood.

Hardware, software, and chemistry come together in concert to produce a streamlined, efficient, and powerful diagnostics platform whose results are as accurate as gold-standard devices at a fraction of the cost. Today, these devices are deployed and active across the world, making bloodwork more comfortable for patients and more accessible for their doctors.

This position is perfect for someone who has experience with full stack software engineering; enjoys building new features and improving infrastructure, and has an interest in the medical device R&D space. You’ll be working in a small multi-functional engineering team comprised of chemical and hardware engineering, manufacturing, and quality.

What You'll Do

• Development of existing backend and frontend services for the Athelas device product: improving our infrastructure, architecting and building robust, scalable back-end service
• Translate product requirements into technical solutions
• Implementation of cybersecurity best practices throughout the software development lifecycle
• Collaborate with engineering, operations, quality, and regulatory functions to ensure that production software systems meet both operational, security, and regulatory requirements
• Utilize a stack comprising Python, Flask, React, Postgres, Kubernetes, Docker
• Apply problem-solving and analytical skills to diagnose and resolve technical issues efficiently, ensuring the stability and performance of our systems
• Establish and enforce best practices for code quality, testing, and deployment

What You Have

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent extensive experience required
• Professional software engineering experience required, proficiency in Python
• Deep expertise in developing and managing data pipelines and experience with PostgreSQL or similar relational database management systems
• Advanced knowledge in Containerization and Cloud Services (Docker, Kubernetes)
• A strategic thinker with a builder’s mindset, passionate about high-impact projects
• Demonstrated expertise in building, scaling, and maintaining sophisticated production environments
• Advanced skills in system monitoring, alerting, reporting, metrics tracking, and software reliability engineering
• An exceptional sense of product development with a keen focus on user experience and customer needs
• A commitment to ongoing personal and professional development

Nice To Have

• Experience or interest in embedded software engineering – developing application software for embedded systems (Linux-based IoT medical device). Experience with hardware interfaces (GPIO, camera control, serial communication) and embedded Linux systems is a plus, though not required. Note: This is application software development on embedded hardware, not low-level firmware engineering.
• Experience or interest in the design, training, and optimization of computer vision models for blood diagnostics, including object detection and classification models. Work across the ML lifecycle from data preparation and model training to deployment and performance monitoring.

Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.