Hiring Geospatial Engineers: The Complete Guide

# Geospatial Engineer

**Location:** San Francisco, CA (Hybrid) · **Employment Type:** Full-time · **Level:** Mid-Senior

## About [Company]

[Company] is a logistics platform optimizing last-mile delivery for 10,000+ merchants across 200 cities. Our geospatial systems power 5 million deliveries monthly, getting packages to customers faster and more efficiently.

Every delivery involves routing, ETA prediction, and real-time tracking. Improvements in our geospatial algorithms directly translate to faster deliveries, lower costs, and better customer experience.

**Why join [Company]?**

- Work on geospatial at meaningful scale—5M monthly deliveries, 200 cities
- Solve real routing and optimization challenges with direct business impact
- Real-time systems that drivers and customers depend on
- Join an 8-person geospatial team within a 150-person engineering org
- Series C company with strong unit economics and growth
- Competitive compensation with meaningful equity

## The Role

We're looking for a Geospatial Engineer to help us build world-class routing and location systems. You'll work on route optimization, ETA prediction, real-time tracking, and the spatial infrastructure that powers our logistics platform.

This is applied geospatial engineering. Your routing improvements shave minutes off every delivery. Your ETA predictions set customer expectations. Your tracking systems let customers know exactly when their order arrives. The work is visible and impactful.

The ideal candidate has experience with spatial algorithms and databases, understands routing and optimization, and can build systems that work reliably at scale.

## What You'll Work On

### First 30 Days
- Onboard to our geospatial stack, routing systems, and spatial databases
- Understand our delivery operations, driver workflows, and optimization challenges
- Ship your first improvement (routing tweak, ETA enhancement, or spatial query optimization)

### First 90 Days
- Own a geospatial system component (routing, ETA, or tracking)
- Contribute to routing improvements with measurable efficiency gains
- Build or improve spatial data pipelines
- Collaborate with operations on logistics features

### First Year
- Lead geospatial initiatives with direct efficiency and cost impact
- Architect improvements to our routing and optimization systems
- Develop new capabilities (multi-stop optimization, dynamic routing)
- Mentor teammates on geospatial engineering best practices

## Objectives of This Role

- Reduce average delivery time through routing improvements
- Improve ETA prediction accuracy
- Optimize driver utilization and route efficiency
- Build real-time tracking with sub-minute location updates
- Scale geospatial systems for 2x delivery volume growth

## Responsibilities

**Routing & Optimization (50%)**
- Build and optimize routing algorithms for delivery efficiency
- Implement multi-stop route optimization
- Design dynamic routing that adapts to traffic and conditions
- Optimize spatial algorithms for performance
- Balance optimization quality with computation time

**Location & Tracking (30%)**
- Design real-time vehicle tracking systems
- Build geofencing and location-triggered events
- Implement driver location streaming and aggregation
- Create customer-facing delivery tracking
- Handle GPS noise and location accuracy issues

**Spatial Infrastructure (20%)**
- Optimize PostGIS queries and spatial indexes
- Build spatial data pipelines for map data and boundaries
- Implement geocoding and address validation
- Create spatial analysis tools for operations
- Maintain map data and boundary systems

## Required Skills and Qualifications

**Technical Skills**
- 5+ years of software engineering experience
- 2+ years in geospatial or logistics engineering
- Strong PostGIS or spatial database experience
- Understanding of routing algorithms (Dijkstra, A*, contraction hierarchies)
- Real-time system experience
- Proficiency in Python, Go, or Java

**Geospatial Knowledge**
- Understanding of coordinate systems and projections
- Experience with spatial indexing (R-trees, geohash)
- Familiarity with map data and routing graphs

**Soft Skills**
- Analytical approach to optimization problems
- Collaboration with operations and product teams
- Clear communication about complex spatial concepts

## Preferred Skills and Qualifications

- Logistics or delivery platform experience
- Vehicle routing problem (VRP) optimization experience
- Machine learning for ETA prediction
- Experience with OSRM, Valhalla, or similar routing engines
- Background in operations research or optimization
- Experience with Mapbox, Google Maps Platform, or HERE

## Tech Stack

**Backend:** Python, Go, custom optimization services

**Spatial:** PostGIS, Redis with geo commands, H3 spatial indexing

**Routing:** OSRM, custom optimization algorithms

**Mapping:** Mapbox for visualization, OSM data

**Real-time:** Apache Kafka, WebSocket for live tracking

**Infrastructure:** AWS (EKS, RDS), Kubernetes

## Compensation and Benefits

**Salary:** $145,000 - $195,000 (based on experience)

**Equity:** 0.04% - 0.12% (4-year vest, 1-year cliff)

**Benefits:**

*Health & Wellness*
- Medical, dental, and vision insurance (100% covered)
- $100/month wellness stipend
- Mental health support through Modern Health

*Time Off*
- Unlimited PTO with 15-day minimum encouraged
- 11 paid company holidays
- 16 weeks paid parental leave

*Professional Development*
- $2,500 annual learning budget
- Conference attendance (FOSS4G, State of the Map)
- Internal geospatial tech talks

*Financial*
- 401(k) with 4% company match
- Equity refresh grants annually

*Workspace*
- $1,500 home office setup allowance
- Hybrid work (2-3 days in SF office)
- MacBook Pro and equipment of choice

## Engineering Culture

**How we work:**
- Optimization obsession—every minute matters for deliveries
- Data-driven decisions—measure everything
- Close collaboration with operations team
- Real-time monitoring during peak hours
- Blameless post-mortems after issues

**What we value:**
- Efficiency improvements with real-world impact
- Reliability—drivers and customers depend on our systems
- Practical optimization over theoretical perfection
- Understanding of physical logistics constraints
- Work-life balance (on-call is rotational and well-supported)

## Interview Process

Our interview process typically takes 2 weeks.

- **Step 1: Recruiter Screen** (30 min)
  Background discussion and role overview.

- **Step 2: Technical Screen** (60 min)
  Geospatial and algorithms fundamentals.

- **Step 3: Geospatial Deep Dive** (90 min)
  Technical discussion about routing, spatial algorithms, and your experience.

- **Step 4: System Design** (75 min)
  Design a geospatial system: routing service, tracking system, or spatial pipeline.

- **Step 5: Coding Exercise** (75 min)
  Algorithm implementation or spatial query optimization.

- **Step 6: Team Interviews** (2 x 30 min)
  Meet potential teammates.

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*[Company] is an equal opportunity employer.*