Software Systems Engineering

Software Engineer, Geospatial Systems - Brooklyn, NY - Engineering - In office - Full-time

But today's renewable energy development process can’t move fast enough to meet global goals. We are providing software and services to accelerate power development - unlocking one of the greatest opportunities of our time: transforming how infrastructure gets built and ensuring it’s built with renewable energy.

Paces is building the development engine for renewable infrastructure and power projects. We have built Agentic AI that automates early‑stage due diligence and pairs it with in‑house expertise to accelerate late‑stage diligence. The result: projects move from siting to construction‑ready in a fraction of the time. Our platform streamlines siting, interconnection, and permitting for renewable energy and data center developers, real estate firms, EV charging companies, and more.

We are building a team where people can proudly say their time at Paces is the most impactful, meaningful work of their career. Our amazing team in Brooklyn, New York includes incredible team members from tech companies like Meta AI, DeepMind, and Tesla; We are looking for exceptional talents to join our growing Software Engineering team. 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. 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’re pragmatic: you ship the simplest thing that solves a real problem.

Bonus Points

Experience with a systems language - Rust, C, C++, Zig, or similar.

A geospatial / GIS background: ML, embeddings, or geospatial foundation models (e.g. Large‑scale spatial pipelines, spatial indexing, or distributed/ephemeral compute.

Competitive equity compensation

Health, Dental and Vision insurance

Paid company holidays & PTO

Hybrid work in the office in Williamsburg, Brooklyn ~3x per week

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.

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