Athelas is a Sequoia funded biotech startup working on modern, point-of-care diagnostics using Machine Learning. Our main product is an FDA cleared device for immunoresponse monitoring. We're scaling deployments rapidly across the country, and our customer base includes major pharmaceutical companies. If you're interested in modernizing healthcare and working at the intersection of machine learning and healthcare, we are the right place for you.

Athelas is a small, creative, and hard-working team and we're looking for individuals with a founder-type mentality to join us.

At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care.

Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years.

Backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more, Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare.

About the Role

At Commure + Athelas, we build products that power modern healthcare—from clinical documentation and workflow tools to billing infrastructure for healthcare systems, platform services, and data/ML capabilities. Teams ship across web, mobile, and backend to deliver secure, reliable, and intuitive experiences for providers and administrators at scale.

We’re looking for Software Engineering Interns to join our engineering teams for Summer 2026. Interns will work on meaningful projects with mentorship from experienced engineers and gain exposure to shipping software in production at scale.

This internship is requires working 5 days a week in our Mountain View, CA office.

What You’ll Do

• Contribute to the design, development, testing, and shipping of product features across web, mobile, or backend services
• Support core platforms and APIs that power clinical workflows and billing infrastructure for healthcare systems
• Collaborate with product, design, data/ML, and infrastructure teams to deliver customer-focused solutions
• Assist in building full‑stack solutions emphasizing usability and security
• Maintain high standards for code quality, reliability, security, and performance
• Instrument features with metrics and logging; participate in code reviews and technical documentation
• Operate services in production with a focus on observability, incident response, and continuous improvement

What You Have

• Obtain Bachelor’s or Master’s in Computer Science or related technical field by June 2027
• Solid CS fundamentals (data structures, algorithms, networking, concurrency) and strong debugging skills
• Proficiency in at least one of: TypeScript/Node, Python, Go
• Ability to learn new technologies quickly and work across the stack as needed
• Product sense and attention to detail; empathy for end users in high-impact workflows
• A builder mindset with strong ownership, communication, and collaboration skills

[Preferred]

• Prior internship or project experience building production-like systems or shipping user-facing features
• Familiarity with modern frontend frameworks (e.g., React) or mobile frameworks (iOS/Android)
• Exposure to cloud and container technologies (e.g., AWS/GCP, Docker, Kubernetes) and CI/CD
• Knowledge of secure API design and data modeling; understanding of monitoring/alerting/observability
• Domain exposure to healthcare (e.g., EMR/EHR integrations, HL7/FHIR, HIPAA considerations) or AI/ML/ASR

Experience areas we value (any subset):

• Building and operating services in production environments
• Defining and tracking metrics; creating dashboards and alerts
• Software reliability engineering practices (graceful degradation, retries/backoff, health checks)
• Clear technical writing, thoughtful code reviews, and a habit of continuous learning and improvement

Commure + Athelas is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process.

Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization.

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.

Machine Learning

Our device captures high resolution images of blood smears which we analyze using internally CNNs. Our networks are responsible for segmenting cells, classifying them, and deciding which images include valid and invalid samples. In addition, we have specially designed networks for classifying abnormal cells (blast cells, giant platelets, nucleated red blood cells) that require additional intervention.

Hardware

Our hardware stack includes custom objective lenses and image sensors to provide the optimal tradeoff for field of view and cell resolution. Our device includes an onboard linux processor, motor drivers, and a linear actuator for orienting and moving the sample. We are always looking to improve our imaging stack to provide more powerful images for analysis.

Clinic Product

We provide customers (clinics) a web-based interface for analyzing results, looking up patient history, and integrating directly with pharmacies. Our frontend is built entirely in react and redux.

Server API

Our APIs are built using flask and sqlalchemy with a postgres database. Our infrastructure is hosted using Kubernetes on GCP. We believe in simple, reliable infrastructure that allows us to spend most of our time on improving our tests and adding new ones.