• Location: Prague/Remote (EU)
• Skills: Rust, distributed systems, storage engines, query compilers

About the role

You will be building TopK’s core database, including our distributed query engine and storage format.

Your job will be:

1. Optimizing query compilation and query plan rewrites.
2. Improving query execution at both node-level (e.g. compute kernels) and system-level (e.g. workload scheduling).
3. Building high-performance integrations with existing storage systems.
4. Exploring new data structures and algorithms to effectively index and search terabytes of data in O(10ms).

Requirements

• Production-grade experience with Rust
• Experience building distributed systems (e.g. distributed databases, message queues, storage systems, …)
• Experience with low-level performance optimizations (e.g. kernel bypass, SIMD, cache-friendly algorithms, …)
• Proven track record of your abilities (e.g. published papers, open-source contributions, strong references, …)

Interview Process

We absolutely do not want to waste time by 7-stage long-form interviews. We have a simple process:

1. Introductions - Talk to one of the founders, discuss your previous experience, and explore what interests you about TopK.
2. **Technical interview (one of)**Algorithms/low-level interview System design interview
3. Culture fit - You’re welcome to join us for a day in the office or we can grab lunch so you can meet the entire team (if feasible).
4. Decision and potential offer