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Geospatial Intelligence Jobs in California (NOW HIRING)

Mantari

Software Engineer

Torrance, CA · On-site +1

Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence * Background in physics-informed ML, simulation modeling, or data assimilation * Contributions to open ...

Array Labs

3D Reconstruction Scientist

Redwood City, CA

$150K - $300K/yr

Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence ...

Array Labs

3D Reconstruction Scientist

Redwood City, CA · On-site

$150K - $300K/yr

Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence ...

kgs

Navy SEPASS Data Engineer

Monterey, CA

$126K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Koniag IT Systems, LLC is seeking a Data Engineer to support enterprise-level geospatial intelligence (GEOINT) systems engineering efforts for our federal customers. The ideal candidate will bring ...

Koniag, Inc.

Navy SEPASS Data Engineer

Monterey, CA · On-site

$185K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Koniag IT Systems, LLC is seeking a Data Engineer to support enterprise-level geospatial intelligence (GEOINT) systems engineering efforts for our federal customers. The ideal candidate will bring ...

kgs

Navy SEPASS Data Engineer

Monterey, CA

$126K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Koniag IT Systems, LLC is seeking a Data Engineer to support enterprise-level geospatial intelligence (GEOINT) systems engineering efforts for our federal customers. The ideal candidate will bring ...

kgs

Navy SEPASS Data Engineer

Monterey, CA

$126K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Koniag IT Systems, LLC is seeking a Data Engineer to support enterprise-level geospatial intelligence (GEOINT) systems engineering efforts for our federal customers. The ideal candidate will bring ...

Array Labs

3D Reconstruction Scientist

Redwood City, CA · On-site

$150K - $300K/yr

Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence ...

Mantari

Software Engineer

Torrance, CA · On-site

Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence * Background in physics-informed ML, simulation modeling, or data assimilation * Contributions to open ...

Mantari

Software Engineer

Torrance, CA

Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence * Background in physics-informed ML, simulation modeling, or data assimilation * Contributions to open ...

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Showing results 21-40

All JobsGeospatial Intelligence JobsGeospatial Intelligence Jobs in California

Geospatial Intelligence information

See California salary details

$61.7K

$76.3K

$91.3K

How much do geospatial intelligence jobs pay per year?

As of Aug 15, 2026, the average yearly pay for geospatial intelligence in California is $76,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,600.00 and $80,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in geospatial intelligence roles?

One common challenge in Geospatial Intelligence roles is managing and analyzing large volumes of complex spatial data from various sources, including satellite imagery, aerial photography, and sensor feeds. GEOINT professionals must ensure data accuracy and timeliness, often working under tight deadlines to support critical decision-making. They also need to stay current with evolving technologies and analytical tools, while collaborating closely with multidisciplinary teams such as analysts, IT specialists, and field operators. Balancing technical skills with effective communication is key to translating geospatial insights into actionable intelligence.

Is geospatial intelligence a good career field?

Geospatial intelligence is a growing field that involves analyzing geographic data to support national security, defense, and environmental decision-making. It requires skills in GIS software, remote sensing, and data analysis, often with security clearances or specialized certifications. The field offers opportunities in government agencies, defense contractors, and private sector companies with a focus on technology and analytical expertise.

What are the key skills and qualifications needed to thrive as a geospatial intelligence analyst?

To thrive as a Geospatial Intelligence Analyst, you need strong analytical skills, spatial reasoning, and a background in geography, GIS, or related fields, often supported by a relevant degree. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing technologies, and data visualization tools is typically required, along with certifications like GEOINT Professional Certification (GPC) being advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and conveying insights. These skills are essential for accurately analyzing geospatial data, supporting decision-making, and contributing to national security or commercial objectives.

What is the difference between Geospatial Intelligence vs GIS Analyst?

AspectGeospatial IntelligenceGIS Analyst
Required CredentialsOften requires security clearance, GIS certifications, and relevant degreesTypically requires GIS certifications and a degree in geography or related field
Work EnvironmentGovernment agencies, defense, intelligence, and military sectorsPublic and private sector organizations, urban planning, environmental agencies
Employer & Industry UsageUsed primarily in defense, intelligence, and national securityUsed in urban planning, environmental management, and business analysis
Search & Comparison IntentOften compared for roles involving security and strategic analysisCompared for geographic data analysis and mapping roles

Geospatial Intelligence focuses on strategic, security, and defense applications, often requiring security clearances. In contrast, GIS Analysts primarily work on mapping, spatial data analysis, and urban or environmental projects. While both roles involve geospatial skills, their work environments and objectives differ significantly.

What is geospatial intelligence?

Geospatial intelligence (GEOINT) is the collection, analysis, and interpretation of imagery and geospatial information to describe, assess, and visually depict physical features and activities on Earth. GEOINT combines satellite imagery, aerial photography, maps, and other geographic data to support national security, disaster response, and various decision-making processes. Professionals in this field use advanced technologies and analytical methods to provide actionable insights for government agencies, military operations, and private organizations.

Is geospatial intelligence a good career?

Geospatial intelligence is a growing field that involves analyzing geographic data to support national security, defense, and environmental efforts. It requires skills in GIS software, remote sensing, and data analysis, often with security clearances and specialized training. The career offers opportunities in government agencies, defense contractors, and private sector firms with competitive salaries and advancement potential.

What are popular job titles related to Geospatial Intelligence jobs in California?

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

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

The top searched job categories for Geospatial Intelligence jobs in California are:

What cities in California are hiring for Geospatial Intelligence jobs?

Cities in California with the most Geospatial Intelligence job openings:

Geospatial Intelligence jobs near you
Infographic showing various Geospatial Intelligence job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $76,342 per year, or $36.7 per hour.

Software Engineer

Mantari

Torrance, CA • On-site, Remote

Full-time

Re-posted 25 days ago

Job description

Description

Own the guts of our modeling engine, everything between raw sensor data and a lightning-fast forecast API:

  • Build and optimize CUDA kernels, JAX/PyTorch ops, and distributed training loops for physics-aware transformer models
  • Stand up reproducible, containerized pipelines (Ray, Kubernetes, Slurm, or similar) that scale from a single GPU to multi-region GPU clusters in the cloud
  • Automate data ingest and feature engineering from our growing sensor network (satellite, buoy, radar, etc.)
  • Translate novel research prototypes into production-grade code

You'll work closely with Mantari's Head of Weather and AI modeling teams to operationalize next-generation forecast systems, bringing meteorological science and modern ML together at planetary scale.

Requirements
  • Degree in Atmospheric Science, Computer Science, or related engineering / physical sciences field
  • 5+ years writing high-performance Python/C++/Rust for GPU workloads
  • Real-world experience designing and building cloud-native applications and infrastructure (GCP, AWS, or Azure)
  • Deep fluency with at least one modern deep learning framework (JAX, PyTorch, TensorFlow, etc.)
  • Proven track record shipping distributed training or inference systems at scale (100+ GPUs)
  • Comfortable profiling kernels, diagnosing memory bottlenecks, and reading compiler logs when needed
  • Strong grasp of modern DevOps: code reviews, CI/CD pipelines, observability, and containerization
Bonus Qualifications
  • Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence
  • Background in physics-informed ML, simulation modeling, or data assimilation
  • Contributions to open-source ML or scientific computing frameworks
How We Work
  • Small, senior team; high autonomy, high expectations.
  • Collaborate closely with the founding team and SMEs to push the boundaries of observation-driven AI-native weather forecasting, and turn weather into an advantage, not a roadblock.
  • LA HQ required.
  • Equity upside commensurate with being one of the first core team members. Competitive salary, full benefits, and hardware budget.

Apply