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
Skills Required
- 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 Apache Arrow, Parquet, DataFusion, Clickhouse, or DuckDB
- Understanding of ML infrastructure stack (e.g., PyTorch, CUDA)
- Experience with Rust
- Willingness to work in-person at NYC or London office
What We Do
Spiral is building the data infrastructure that AI needs, enabling teams developing models in complex domains such as weather, climate, financial, time-series, genomics, point-clouds, videos, and images. The company is reinventing storage through innovative data layouts, compression strategies, and orchestration layers, blending open-source building blocks like Vortex with proprietary cloud data warehouse architecture.
