Senior Software Engineer - Geospatial

Ocient Inc.; Northern (KY); Presencial; USD 165.000 - 190.000; Jornada completa

Descripción de la vacante

Ocient is hiring a Senior Software Engineer to extend its geospatial engine, owning key components end-to-end from spherical math correctness to query performance at hyperscale. You will work on a small team with significant surface area and influence across the engine.

The role emphasizes hands-on engineering, collaboration with Product and customers, and writing tests and design docs to ensure robust, scalable spatial functionality across trillions of rows.

Formación

• 5+ years building production software systems, including solid experience in C++.
• Strong grasp of computational geometry and, critically, spherical/geodetic geometry.
• Exposure to geospatial data, standards, or libraries: WGS84 and geodetic datums, OGC/WKT/WKB, GEOS, S2, H3, PostGIS, or equivalent.
• Comfort with performance engineering such as profiling, algorithmic optimization, and reasoning about work at scale.
• Strong instincts around numerical correctness and edge cases, and the discipline to encode them in tests and documentation.
• Ability to work across teams and codebases and turn ambiguous requirements into concrete solutions.

Responsabilidades

• Core spatial engine: extend and harden the 120+ geospatial function library across accessors, constructors, measures, predicates, spatial operators, transformations, and parsers/formatters (WKT, WKB, EWKT, GeoHash).
• Spherical correctness: ensure geodesics and great-circle distances are accurate under WGS84 models with edge-case handling.
• Performance and indexing: enable fast spatial predicates, joins, and range queries on trillion-row datasets with indexing, pruning, and vectorized evaluation.
• Spatiotemporal analytics: enhance space-time operators, trajectory reconstruction, interpolation along lines, and movement analysis.
• Convergence with the engine: connect geospatial to other analytical surfaces and in-database ML for unified queries.
• Customer-driven scope: apply geospatial across telco, adtech, and national security workloads with product/customer teams.

Conocimientos

C++

Computational geometry

Geospatial standards

Performance engineering

Numerical correctness

Cross-team collaboration

Herramientas

GEOS

S2

H3

PostGIS

OGC/WKT/WKB

Descripción del empleo

Senior Software Engineer - Geospatial

Location: 100% Remote (US Based Only)

Estimated salary range: $165,000 to $190,000

• We cannot sponsor or transfer any visas, of any kind, at this time*

Hiring Manager: Senior Engineering Manager

Job Description

Ocient has the deepest native geospatial surface in the analytical database market: 120+ native geospatial functions, all built on non-Euclidean spherical math against the WGS84 model of the earth rather than a flattened 2D projection. We store points, linestrings, and polygons natively as columns in SQL-accessible tables, and we run spatial analysis at trillion-row scale on the full-resolution historical data our customers normally have to downsample or throw away.

We are, as far as we know, the only analytical database with native spatiotemporal operators that analyze space and time together directly in SQL rather than forcing two passes over the data. Trajectory and movement analysis that competitors push out to a separate system runs natively here, against data at rest.

We are hiring a Senior Software Engineer to extend that surface. This is a hands‑on engineering role on a small team with a lot of surface area, and you will own meaningful pieces of the geospatial engine end to end, from spherical‑math correctness to query performance at hyperscale.

What You’ll Work On

• Core spatial engine. Extend and harden the 120+ geospatial function library across accessors, constructors, measures, predicates, spatial operators, spatial relationships, transformations, and parsers/formatters (WKT, WKB, EWKT, GeoHash).
• Spherical correctness. Work on the numerical correctness of non-Euclidean computation on both the spherical and spheroid WGS84 models: geodesics, great‑circle distance, area on a sphere, antimeridian and pole handling, degenerate and near‑degenerate geometries, and precision behavior at very small and very large scales.
• Performance and indexing at hyperscale. Make spatial predicates, joins, and range queries fast across trillion-row datasets: spatial indexing, pruning and partitioning strategies, bounding-volume acceleration, vectorized evaluation, and planner integration so spatial filters push down correctly.
• Spatiotemporal analytics. Deepen the space‑and‑time operator set; trajectory reconstruction, interpolation along linestrings over time, and movement and co‑location analysis.
• Convergence with the rest of the engine. Help connect geospatial to Ocient's other analytical surfaces, spatial clustering, accelerated nearest‑neighbor search over geographic data, and in‑database ML, so spatial and non‑spatial analysis compose in a single query and not separate systems
• Customer‑driven scope. Geospatial shows up across the industries we target; telco (CDR and cell tower analysis), adtech (geo‑targeting), and national security (ISR and movement analysis at scale). You'll work with Product and customer‑facing teams to turn those workloads into engine capability.
• Collaboration and craft. Write clear design docs, tests, and documentation so spatial behavior is explicit, benchmarked, and protected against regressions.

Ideal Qualifications

• 5+ years building production software systems, including solid experience in C++ (or comparable systems‑level work with a willingness to work primarily in C++).
• Solid grasp of computational geometry and, critically, spherical/geodetic geometry – you understand why a great‑circle distance is not a Pythagorean one and what breaks when you pretend otherwise.
• Exposure to geospatial data, standards, or libraries: WGS84 and geodetic datums, OGC/WKT/WKB, GEOS, S2, H3, PostGIS, or equivalent.
• Comfort with performance engineering such as profiling, algorithmic optimization, and reasoning about work at scale.
• Strong instincts around numerical correctness and edge cases, and the discipline to encode them in tests and documentation.
• Ability to work across teams and codebases and turn ambiguous requirements into concrete solutions.

An Exceptional Candidate Will Have

• Experience implementing spatial indexing or spatial query optimization inside a database or query engine.
• Background in trajectory analysis, spatiotemporal data management, or moving‑object databases.
• Experience with large-scale data systems, analytical databases, query planners, or distributed execution.
• Familiarity with in‑database ML, or with optimization and spectral methods applied to geographic problems
• Domain experience in one of our target verticals such as telco, network analysis, adtech, automotive/mobility, aviation, logistics, or government/geospatial intelligence.

What Success Looks Like

• Ocient’s spatial function library stays the most complete and most accurate in the market, and our lead widens rather than erodes.
• Spatial queries that customers previously had to downsample, pre‑aggregate, or move off‑platform now run interactively at full resolution.
• Spherical‑math correctness is provable – validated against reference implementations, with edge cases documented rather than discovered by customers.
• Spatiotemporal analysis becomes a capability we lead with in deals, not a feature buried in the docs.