Software Engineer, Geospatial Systems

Location: Brooklyn, NY

Department: Engineering

Location Type: IN_OFFICE

Employment Type: FULL_TIME

• Research, prototype, and ship core parts of the geospatial engine at the heart of Paces — large-scale spatial search and analysis that energy developers depend on.
• Take open-ended, hard problems in computational geometry and performance — over tens of millions of parcels and nationwide infrastructure data — from prototype to production.
• Work across the full spatial stack: DuckDB, Arrow/GeoArrow, file-based spatial indexing, and a OLTP-backed data lake.
• Explore the frontier of geospatial computation — for example geospatial embeddings and foundation models (e.g. Clay) — and decide what's worth bringing into the product.
• Set the bar for correctness and performance on a system where wrong or slow answers carry real cost.

• 4+ years of experience building data intensive software in a similar role
• Strong computer-science fundamentals: data structures, algorithms, graph theory, and a feel for where time and memory go.
• Fluency in a systems/backend language.
• A track record of building performant, correct backend systems — you can reason about a hot path and read a query plan.
• Experience with DuckDB, Apache Arrow, or comparable columnar/analytical data systems.
• A research mindset: comfort with open-ended problems, prototyping to learn, and knowing when to harden a prototype into a production system.
• Comfort owning ambiguous problems end-to-end and communicating tradeoffs clearly in writing.

• Correctness and performance matter to you. You measure before you claim, document your tradeoffs, and prefer a loud failure to a plausible wrong answer.
• You have real depth in the fundamentals and reach for the right primitive, not the familiar one.
• You operate with high agency — you scope ambiguous problems, decide, and own the outcome.
• You're pragmatic: you ship the simplest thing that solves a real problem.

• Experience with a systems language — Rust, C, C++, Zig, or similar.
• A geospatial / GIS background: PostGIS, GDAL/raster drivers, GeoArrow, projections and coordinate systems, or computational-geometry libraries (GEOS, georust/geo).
• ML, embeddings, or geospatial foundation models (e.g. Clay).
• Familiarity with zarr / GeoZarr or other large-scale array/raster formats.
• Large-scale spatial pipelines, spatial indexing, or distributed/ephemeral compute.
• Open source contributor.

• $150K - $220K annual compensation
• Competitive equity compensation
• 401(k) matching
• Health, Dental and Vision insurance
• Paid company holidays & PTO
• Hybrid work in the office in Williamsburg, Brooklyn ~3x per week

• 🛠️ If you’re a builder who wants to actively construct a more climate positive future, join us!
• 🗺️ We are enabling the climate optimum use for all the world’s land and are thought leaders in the evolving data center and renewables markets.
• 🐶 We have a dog calendar and have dogs running around in the office.
• 🌞 We have world class customers and are growing!
• 📢 We've raised $18M+ led by Navitas Capital, Resolute Ventures and Y Combinator.