Trupeer AI SDE 2 interview experience
Summary
I interviewed for the SDE-2 role at Trupeer AI, which involved a resume discussion, a take-home assignment to design a media processing engine, and a design discussion round focusing on system scalability and architecture. I was rejected after the second round.
Full Experience
Sharing my interview experience for the SDE-2 role at Trupeer AI.
Round 1 – Resume & Project Discussion
The first round was mainly focused on deep discussion around projects mentioned in my resume. The interviewer asked about architecture decisions, trade-offs, and implementation details. Toward the end, I was given a take-home assignment to design and build an media processing engine.
Assignment
The task was to design and implement a system capable of processing media locally/offline with a clean architecture and extensibility in mind.
Round 2 – Design Discussion
This round focused on discussing the assignment in detail. The interviewer asked several follow-up questions and modifications such as:
- How the system design would change with an agentic workflow.
- How to scale the system to millions of users.
- How to make the processing pipeline asynchronous and resilient.
The discussion was quite in-depth around architecture, scalability, and system evolution. Unfortunately, I was rejected after R2, but it was a good learning experience overall.
Interview Questions (4)
Design and Build a Media Processing Engine
Design and implement a system capable of processing media locally/offline with a clean architecture and extensibility in mind. This was a take-home assignment.
Adapt Media Processing Engine for Agentic Workflow
How would the system design for the media processing engine change with an agentic workflow?
Scale Media Processing Engine to Millions of Users
How would you scale the media processing system to millions of users?
Make Media Processing Pipeline Asynchronous and Resilient
How would you make the media processing pipeline asynchronous and resilient?