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Spatial Jobs in California (NOW HIRING)

Esri

Spatial Data Engineer II

Redlands, CA · On-site

$79K - $133K/yr

As a Spatial Data Engineer on the geocoding team, you will work with massive spatial data from both commercial and open sources. You'll be asked to master data specifications, automate processes for ...

Niantic Spatial, Inc

Head of Legal

San Francisco, CA · On-site

$270K - $340K/yr

About Niantic Spatial At Niantic Spatial, we're building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a ...

Niantic Spatial

Finance Manager

San Francisco, CA · On-site

$150 - $200/hr

About Niantic Spatial At Niantic Spatial, we're building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a ...

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All JobsSpatial JobsSpatial Jobs in California

Spatial information

See California salary details

$99.2K

$121.5K

$151K

How much do spatial jobs pay per year?

As of Sep 8, 2026, the average yearly pay for spatial in California is $121,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $126,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Spatial Analyst?

To thrive as a Spatial Analyst, you need strong analytical skills, proficiency in geography or related fields, and experience with spatial data analysis. Familiarity with GIS software like ArcGIS or QGIS, and certifications such as GISP, are often required. Attention to detail, problem-solving ability, and effective communication skills help you interpret data and collaborate with stakeholders. These competencies are vital for providing accurate spatial insights that support decision-making across various industries.

How does a Spatial Analyst typically collaborate with other departments within an organization?

Spatial Analysts often work closely with various teams such as urban planning, engineering, environmental science, and IT. They provide geospatial insights, maps, and data visualizations to support decision-making and project planning. Collaboration usually involves regular meetings to understand department needs, integrating spatial data into broader projects, and explaining complex spatial concepts to non-technical stakeholders. This teamwork ensures that spatial data informs strategies across the organization and supports cross-functional goals.

What is the difference between Spatial vs GIS Technician?

AspectSpatialGIS Technician
Required CredentialsGIS certifications, degree in geography or GISGIS certifications, degree in geography or related field
Work EnvironmentFieldwork, data collection, mapping projectsOffice-based, data analysis, map creation
Employer & Industry UsageEnvironmental agencies, urban planning, utilitiesGovernment agencies, consulting firms, environmental companies

Both Spatial and GIS Technician roles require similar credentials and often work within the same industries. Spatial roles tend to involve more fieldwork and data collection, while GIS Technicians focus on data analysis and map production. Understanding these differences helps job seekers target the right position based on their skills and interests.

What are popular job titles related to Spatial jobs in California?

For Spatial jobs in California, the most frequently searched job titles are:

What job categories do people searching Spatial jobs in California look for?

The top searched job categories for Spatial jobs in California are:

What cities in California are hiring for Spatial jobs?

Cities in California with the most Spatial job openings:

Spatial jobs near you
Infographic showing various Spatial job openings in California as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,527 per year, or $58.4 per hour.

Senior Computer Vision Engineer (Localization)

Niantic Spatial, Inc

San Francisco, CA • On-site

$189K - $255K/yr

Full-time

Re-posted 9 days ago

Job description

At Niantic Spatial, we're building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment. Join us as we build the real-world foundational models for physical AI, so people and machines can work efficiently and safely together.
As a Senior Computer Vision Engineer on the Applied Algorithms team, you will own significant parts of our Localization technology. As a member of this team, you will be responsible for building the Map representing a living geospatial world model, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world. Part of the role will be bridging the gap between R&D and production, turning complex geospatial data into a persistent sense of space and enabling the next generation of spatial AI.
Responsibilities
  • System Architecture: Design, develop, and maintain production-grade computer vision systems that power Niantic Spatial's VPS (Visual Positioning System) and 3D mapping pipelines.
  • Algorithmic Innovation: Refine and scale algorithms for our VPS system including, SfM (Structure from Motion) and Feed Forwards models, efficient feature and descriptor extraction to have the best possible accuracy and recall. Moving algorithms from research concepts to hardened production code that can scale for our map of the world.
  • Performance Engineering: Optimize complex ML and CV code for maximum efficiency in cloud and mobile environments, ensuring low latency and high-performance execution on GPU/CPU.
  • Benchmarking & Evaluation: Create and own the tools and frameworks used to evaluate the quality of our spatial grounding and 3D maps against ground-truth data.
  • Technical Leadership: Lead technical design reviews, mentor junior engineers, and serve as a team anchor for resolving complex technical disagreements within the mapping stack.
  • Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art computer vision solutions translate into delightful user experiences.
Requirements
  • Education: BS, MS, or PhD in Computer Science, Robotics, Computer Vision, or a related technical field (or equivalent professional experience).
  • Years of Experience: 5+ years of experience developing and shipping algorithms for image processing, computer vision, or 3D reconstruction.
  • Coding Proficiency: Expert-level proficiency in python and/or C++.
  • Domain Expertise: Proven track record in designing solutions for Structure from Motion (SfM), VPS or 3D mapping..
  • Frameworks & Tools: Deep experience with Deep Learning frameworks (PyTorch or JAX) and version control (Git).
  • Required in-office days: 3 days per week

Plus If:
  • Experience in planning and leading technical projects from inception to production.
  • Significant contributions to open-source CV libraries (OpenCV, COLMAP, etc.).
  • Experience with CUDA or shader programming for performance optimization.

Candidate Privacy Policy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates.
If required by law, by submitting my job application I consent to the processing of my information as described in that Notice, including processing information I voluntarily disclose to Niantic Spatial, such as health or medical information, race or ethnicity data, and sexual orientation data and, in limited circumstances sharing information with third parties such as references and other third parties that assist in the hiring process.
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial, will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.

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