Vector Panda is a distributed vector database built from scratch in Rust — currently by one person. Anyone who joins has direct impact on architecture, performance, and product direction from day one, because there's no layer between you and the system.
Deploys go to production several times a day. Every change is measured against real query latency, throughput, and recall benchmarks. If it doesn't move a metric, it gets questioned.
One person who deeply understands SIMD-optimized distance calculations beats three who can set up a Kubernetes cluster. Expertise in systems programming, linear algebra, and distributed systems is what counts here.
Every abstraction has a cost. Three clear lines of code beat a premature abstraction, and the codebase stays small enough to hold the whole system in your head.
We don't have any open positions right now. Vector Panda is one person today, and hiring happens opportunistically when the right person shows up.
If you're passionate about systems programming, vector search, or distributed databases and want to work on hard problems close to the metal, the founder would like to hear from you.
Send us a note