Geospatial Data Engineer

🕒 April 13

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Shearwater Aerospace

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2018

🚀 Aerospace

🤖 Artificial Intelligence

☁️ SaaS

Aerospace • Artificial Intelligence • SaaS

Shearwater Aerospace is an AI-driven aerospace software company that provides Smart Flight™, a dual-use autonomous flight platform for UAVs. The company develops SaaS-style mission planning, in-flight optimization, and weather-aware 4D routing that integrates with common autopilot systems (PX4, Ardupilot) to extend endurance, reduce pilot workload, and enable swarm and compliance-aware operations for commercial and defence customers. Their product focuses on improving range, persistence, regulatory compliance, and operational scalability without requiring hardware changes.

📋 Description

• You'll be our first geospatial hire, building the data processing systems that enable autonomous flight decisions. • Working with our CTO, you'll architect how our systems evolve from initial implementation to production-grade infrastructure that handles real-world operational demands. • Design geospatial processing pipelines that balance performance, accuracy, and extensibility • Build GIS analysis algorithms for weather-aware route optimization • Integrate multi-source datasets (elevation, obstacles, airspace, meteorological models) • Create APIs that enable real-time flight decision-making • Establish patterns and tooling that evolve as our platform matures.

🎯 Requirements

• Core GIS competency: 4+ years building geospatial software (or 3 years if you've shipped impressive systems) • Strong knowledge of common GIS tools and libraries (QGIS, GDAL/OGR) • Experience with geospatial algorithms (visibility analysis, spatial operations, terrain analysis) • Deep understanding of coordinate systems, projections, and spatial data structures • Python ecosystem: Strong Python with scientific computing stack (NumPy, Pandas, SciPy) • Geospatial libraries: GeoPandas, Rasterio, Xarray, Dask • Data infrastructure: Experience with spatial databases (PostGIS, Apache Sedona, etc) • Comfortable with cloud infrastructure (GCP preferred), Docker, Git • Ability to set up automated data ingestion workflows • Nice to have: C/C++ for performance-critical processing • Meteorology, atmospheric science, or aviation background • Degree in GIS, Computer Science, Engineering, or related field. Master's is a plus, but we'll prioritize what you've built over credentials.

🏖️ Benefits

• Equity ownership – You're building foundational systems. You should own a meaningful piece of what we're creating. • Architectural influence – This isn't "implement the spec." You'll shape technical decisions alongside the CTO as we define what autonomous flight infrastructure looks like. • Hybrid flexibility – Work where you're most productive. We're in Montreal but value focus time and thoughtful collaboration over face-time. • Growth with the platform – You'll evolve systems as we mature from initial architecture to production-hardened infrastructure. The foundations you establish will scale with increasing mission complexity, data volumes, and operational demands—and you'll architect that evolution. • Direct impact – Your code runs onboard aircraft making critical flight decisions. You'll see your work enable missions that weren't possible before, extending operational capabilities in real-world conditions.