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
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
