---
title: 'Senior Software Engineer - Geospatial at Ocient Inc.'
canonical: 'https://feeny.ai/job/senior-software-engineer-geospatial-ocient-inc-united-states-5fbtmsk5bjah'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Software Engineer - Geospatial at Ocient Inc.

- **Company:** Ocient Inc.
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-07
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.gem.com/ocient-inc-/am9icG9zdDp9BrHlqr7myFyRPR_fw9UL

## Job description

Job Title: Senior Software Engineer - Geospatial Location: 100% Remote (US Based Only)

- We cannot sponsor or transfer any visas, of any kind, at this time* Hiring Manager: Senior Engineering Manager Estimated salary range: $165,000 to $190,000
- The salary offered for this position will be based on a candidate’s experience and skill demonstrated during interviews and other evaluations

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.

## About Ocient Inc.

## Company Overview
- **One-liner**: Ocient delivers OcientAIQ, a unified data platform that brings trusted agentic AI directly to petabyte-scale enterprise data without moving it across fragmented systems.
- **Entity Type**: Private (venture-backed) – total funding $156.5M
- **Headquarters**: Chicago, Illinois, United States
- **Founded**: 2016
- **Founders**: Greg Papadopoulos (Co-Founder & VP of Customer Success & Quality), Joe Jablonski (Co-Founder & Chief Solutions Officer)

## Core Business
- Primary industries: Data & AI software, large-scale data analytics, agentic AI infrastructure
- Target customers: B2B Enterprise – organizations with massive datasets (government, national security, financial services, telecom, energy)
- Mission: “To deliver trusted agentic AI solutions that work in production at petabyte scale – helping the organizations doing the most consequential work in the world realize the full value of their data.”

## Products & Services
- **OcientAIQ™**: Complete ecosystem for building and deploying trusted agentic AI solutions at petabyte scale. Brings AI directly to data with built-in governance, compliance, and deployment options. Handles structured and semi-structured data in a single platform. (SaaS / platform)

## Market Standing
- **Valuation**: Not publicly disclosed (private company)
- **Key Metric**: Annual revenue ~$60M; total funding $156.5M (Series A, Series B, debt financing)
- **Notable Investors**: Greycroft, OCA Ventures, In-Q-Tel, Buoyant Ventures, TechNexus Venture Collaborative
- **Growth Signals**: Headcount 185 (+33.3% YoY); actively hiring with 10 open positions (+900% YoY in job postings); remote-first global workforce across 11 countries; carbon-neutral operations including LEED-certified data center; LinkedIn followers grew 29.6% YoY

## Competitive Advantages
- Founded by the team that built Cleversafe (acquired by IBM) – deep domain expertise in petabyte-scale data systems
- Purpose-built for organizations that cannot afford AI errors (national security, critical infrastructure)
- Unified platform eliminates data movement, reducing cost and latency at extreme scale
- Built-in trust and compliance controls for regulated industries
- Remote-first, carbon-neutral culture attracts top engineering talent

## Strategic Focus
- Scaling OcientAIQ ecosystem for enterprise adoption
- Expanding agentic AI capabilities (trusted, production-ready)
- Continuing international growth (India, Canada, Europe, Singapore)
- Heavy investment in engineering talent: open roles in distributed systems, ML, geospatial, SRE, QA automation, product management

## Why Work Here
- **Culture**: Craft-driven, autonomous, collaborative, inclusive, and ethical. “We are industry-leading experts … driven to deliver the best and brightest solutions.”
- **Work model**: Remote-first – team distributed across 11 countries
- **Impact**: Work on problems that protect networks, secure nations, and power the global economy
- **Compensation**: Sr. Software Engineer ~$172K/year; Software Engineer I ~$97K/year (LinkedIn data)
- **Perks**: Carbon-neutral operations, LEED-certified data center, commitment to UN Sustainable Development Goals
- **Rating**: 4.1/5.0 on LinkedIn (35 reviews) – culture and career score 4.2, work-life 4.1
- **Notable alumni destinations**: Google, Amazon, MongoDB, Citadel Securities

## Sources
1. [ocient.com/careers](https://ocient.com/careers/)
2. [linkedin.com/company/ocient](https://linkedin.com/company/ocient)
3. [ocient.com/about-ocient](https://ocient.com/about-ocient/)
4. [jobs.gem.com/ocient-inc-](https://jobs.gem.com/ocient-inc-)

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