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.
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
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Spiral is building a multimodal data warehouse to provide a unified storage model for complex domains. They are reinventing storage with innovative data layouts, compression strategies, and orchestration layers, blending open-source building blocks like Vortex with proprietary cloud data warehouse architecture.