Spiral builds a fast analytical database for multimodal, multi-rate data streams, on top of the open source Vortex file format. Our users are AI/ML researchers and AI infra engineers developing models in complex domains, such as weather & climate, financial, time-series, genomics, point-clouds, videos, and images. They spend their days waiting on data loaders, writing video or sensor data pipelines, and watching expensive GPUs sit idle on I/O. We make that pain go away.
What we're looking for:We’re looking for exceptional engineers with deep experience in low-level, high-performance software and cloud-scale storage systems.
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, SF, 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.
