abridge

Small

Abridge is a healthcare technology company that uses AI to convert medical conversations into structured clinical documentation. It is known for helping clinicians reduce administrative burden by automatically generating notes from patient-provider dialogue.

5 interview notes · updated Jul 2026

abridge·Software Engineer·Onsite - System Design / Architecture

Jun 2026

System design round at Abridge for a software engineer role, focused entirely on building an encounter tracking system from scratch. Pretty deep dive, they wanted API design, storage schema, and scaling all in one question.

Design an encounter system that tracks when two entities come into contact. Cover the API design, how you'd store the data, and how the system scales as encounter volume grows.

“This is a deceptively wide question.”

View Post

abridge·Software Engineer·Hiring Manager Screen

Jun 2026

Hiring manager screen for a software engineer role at Abridge. Pretty standard resume walkthrough but then it gets into real project depth, so you can't just coast on buzzwords.

Walk me through your resume starting from your most recent role and working backwards.
Pick one of the projects we just talked about and go deep: what was the problem, what was your specific role, what technical decisions did you make and why, and what was the actual outcome?
What was your actual scope of ownership on that project? What did you personally drive versus what did the team handle?
Why this company and why this particular team?

“I'd practiced this but still fumbled the transitions between jobs.”

View Post

abridge·Software Engineer·Onsite - System Design / Architecture

May 2026

A 90-minute technical deep dive at Abridge where you pick two past projects and basically defend every decision you ever made. The probing follow-ups on scaling and failure modes are where it gets real.

Walk us through a substantial past project: what was the problem, what constraints did you have, and what architecture did you end up choosing?
What alternatives did you seriously consider, and why did you reject them?
What were your specific contributions versus what the team did?
How did you roll out the system and what results did you observe?
How does your design hold up at 10x or 100x the current scale?
What failure modes exist in this system and how would you detect or recover from them?
Looking back, what would you change about the design or the decisions you made?

“This is the core of the whole session.”

View Post

abridge·Software Engineer·Onsite - System Design / Architecture

Apr 2026

System design round at Abridge for a software engineering role, focused entirely on redesigning a medical audio pipeline. The scope was pretty wide, covering security, compliance, and performance all at once, which made it feel less like a single question and more like a 45-minute architecture conversation.

You have a medical audio pipeline: audio in, speech-to-text, LLM summary, then persistent storage. Redesign it to be both secure and compliant with healthcare data requirements, and also make it performant at scale.
How would you handle access control and auditability for a pipeline processing sensitive patient data?
How do you defend against prompt injection in an LLM pipeline that processes medical transcripts?
Walk me through how you'd make this pipeline reliable, specifically around retries and handling failures.
What performance optimizations would you apply to the transcription and LLM summarization steps to reduce latency and cost at scale?

“This one is deceptively wide.”

View Post

abridge·Software Engineer·Technical Phone Screen

Apr 2026

Abridge interview for a software engineering role, focused entirely on reviewing a medical audio pipeline codebase and picking apart everything wrong with it from both a security and performance angle. Pretty dense for a single question but it covered a lot of ground.

You're given a code snippet for a medical audio pipeline that ingests audio, transcribes it via a speech-to-text service, summarizes the transcript with an LLM, and stores both outputs. What security and performance issues do you see?

“This one took me a minute to scope properly.”

View Post