What It's Like to Work There
Research-driven engineering culture. The team includes PhD researchers and experienced distributed systems engineers. Intellectually stimulating environment where the problems are genuinely novel.
Resume Tips for Materialize
Stream processing experience is the top differentiator. If you've worked with Kafka Streams, Flink, or built streaming data systems, highlight it.
Distributed systems and database research background is highly valued. Understanding dataflow computation is a plus.
Rust programming skills are essential. Materialize is built in Rust.
If you've published systems research or contributed to database/streaming projects, highlight those.
SQL engine experience matters. Understanding query optimization and execution planning for streaming context is valuable.
Hiring Process
Application review with strong emphasis on distributed systems and database research
Technical interview focused on streaming systems and dataflow concepts
Virtual onsite with 3-4 rounds: coding, systems design, research discussion, and team fit
They assess your understanding of streaming computation and incremental maintenance
Interview Style
Technically demanding interviews that test distributed systems fundamentals, streaming computation concepts, and Rust programming. Expect to discuss incremental computation, dataflow processing, and consistency models.
Top Roles They Hire
Software Engineer
Database Engineer
Distributed Systems Engineer
Site Reliability Engineer
Developer Advocate
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