Sonatus

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Sonatus is an automotive software company that develops solutions for software-defined vehicles, enabling automakers to build more dynamic, updatable, and data-driven cars. It is known for its vehicle software platform that helps manage in-vehicle networks, over-the-air updates, and data collection.

4 interview notes · updated Jul 2026

Sonatus·Software Engineer·Technical Phone Screen

Jun 2026

Interviewed for a Software Engineer role at Sonatus and got a classic stack-based problem dressed up with sensor readings instead of temperatures. Pretty standard algorithmic round, nothing too surprising.

Given an array of daily sensor readings, for each day find how many days you have to wait before seeing a strictly higher reading. Return 0 if no such future day exists.

“It's the next greater element problem with a twist in the story.”

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Sonatus·Software Engineer·Onsite - System Design / Architecture

May 2026

Interviewed for a software engineering role at Sonatus and got hit with a pretty deep system design question around building a RAG pipeline for vehicle documentation. Solid interview, covered a lot of ground from ingestion all the way through evaluation.

Design a RAG system to support vehicle documentation, covering ingestion of multiple file types, chunking and embedding, vector storage, hybrid retrieval, prompt construction, evaluation for faithfulness, and handling content freshness.

“This was basically the whole interview rolled into one question.”

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Sonatus·Software Engineer·Technical Phone Screen

May 2026

Interviewed for a software engineering role at Sonatus and got a classic stack-based problem. Nothing too wild, but the details matter more than you'd expect with this one.

Given an array of daily temperatures, return an array where each element represents how many days you have to wait until a warmer day. If no warmer day exists, use 0.

“Knew it was a monotonic stack problem pretty fast, which felt good.”

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Sonatus·Software Engineer·Onsite - System Design / Architecture

Apr 2026

System design round at Sonatus for a software engineer role, focused entirely on building a RAG-based Q&A chatbot over vehicle documentation. Pretty deep dive, they wanted the full picture from ingestion to query-time retrieval, and didn't let you hand-wave the structured data side.

Design a RAG architecture for a Q&A chatbot that answers questions about vehicle documentation, covering ingestion, indexing, and query-time retrieval.
How would you handle chunking and citation generation specifically for PDFs versus CSVs?
What vector database would you choose and why, given this workload is read-heavy with a growing corpus?
How would you enforce document-level access control if different users are entitled to different vehicle models or regions?
What are the key failure modes in a system like this, and how would you observe and diagnose retrieval quality issues in production?
What latency and throughput targets would you propose for this chatbot, and how would you architect to meet them?

“This was the main event and it ate up most of the session.”

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