- Pay
- $40 per hour
- Where
- SF Office
- Posted
- Sep 11
We're looking for Software Engineering Interns to join Abridge's Engineering team for a 3-month internship program in Fall 2026, with the possibility of extension. You'll collaborate with our engineering team to build and ship real-world features that translate cutting-edge language model capabilities into dependable clinical systems. With mentorship and guidance, you'll gain hands-on experience designing, coding, and releasing AI-powered software that makes a meaningful impact on clinicians' workflows.
What you'd do
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
- A strong interest in pursuing a full-time software engineering role in 2027 — high-performing interns are eligible to receive a return offer
- AI tooling is already part of how you work — you use it to write, debug, and learn faster, and you know when to trust it vs. verify
- Passion for and understanding of Abridge's mission
- A curious, adaptable, and proactive mindset, with a desire to learn and grow in a fast-paced startup environment
- A collaborative, low-ego mindset — we move fast, and we need team players who are eager to contribute wherever needed
- Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
- Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
- Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
- Paid Parental Leave: Generous paid parental leave for all full-time employees.
About Abridge · Builder
Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations.