About the role
Spiral is building the data infrastructure that AI actually needs. We enable teams developing models in complex domains, such as weather & climate, financial, time-series, genomics, point-clouds, videos, and images. We're reinventing storage with innovative data layouts, compression strategies, and orchestration layers, blending open-source building blocks like Vortex with proprietary cloud data warehouse architecture. We’re a small, high-caliber team based in New York and London , backed by world-class VCs and equipped with the runway to tackle bold ideas. We’re looking for exceptional engineers with deep experience in low-level, high-performance software and cloud-scale storage systems.
What we're looking for: 5+ years of experience writing high-quality production code Strong foundation in operating systems and systems programming Proven track record in performance engineering Familiarity with tools like Apache Arrow, Parquet, DataFusion, Clickhouse, or DuckDB is a plus Understanding of cutting-edge ML infrastructure stack (e.g. PyTorch, CUDA) is also a plus Experience with Rust is a
bonus Willingness to work in-person at our NYC or London office
