2 months ago
Brooklyn, NY, USAMid Level
Responsibilities
- Research, prototype, and ship core components of the geospatial engine.
- Solve computational geometry and performance problems across tens of millions of parcels and nationwide infrastructure data.
- Build across DuckDB, Arrow/GeoArrow, file-based spatial indexing, and an OLTP-backed data lake.
- Evaluate geospatial embeddings and foundation models for potential product use.
- Set standards for correctness and performance in production spatial systems.
- Own ambiguous problems end-to-end and communicate technical tradeoffs clearly in writing.
Requirements
- 4+ years of experience building data-intensive software in a similar role.
- Strong fundamentals in data structures, algorithms, graph theory, and time and memory analysis.
- Fluency in a systems or backend language.
- Experience building performant, correct backend systems and reading query plans.
- Experience with DuckDB, Apache Arrow, or comparable columnar or analytical data systems.
- Comfort with open-ended research, prototyping, production hardening, and ambiguous problem ownership.
Benefits
- Competitive equity compensation.
- 401(k) matching.
- Health, dental, and vision insurance.
- Paid company holidays and PTO.
- Hybrid work in the Williamsburg, Brooklyn office approximately three days per week.
- Annual compensation of $150K-$220K.
About Paces
Paces builds an AI-powered platform and services that help renewable energy developers, data center teams, and industrial power users evaluate and develop sites faster. Its software automates early due diligence and provides insights on siting, interconnection, permitting, and environmental risks, supported by expert-validated reports. Founded in 2022 and headquartered in Brooklyn, New York, the privately held company sells a combination of SaaS and development services to accelerate power and infrastructure projects.