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Geospatial Science Jobs in California (NOW HIRING)

347 Group, Inc.

Be Seen First

Geospatial Analyst

Santa Ana, CA · On-site

$30 - $35.40/hr

We have an immediate opportunity for a Geospatial Analyst for the Orange County area. This ideal ... Bachelor's degree in Geography, Engineering, Information Technology, and Computer Science with an ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline ...

Pano

Geospatial Data Engineer

San Francisco, CA · On-site

$111K - $144K/yr

This role works closely with geospatial data analysts, data scientists, and cross-functional partners in Sales, Operations, Product, and Engineering to ensure that spatial data is reliable, scalable ...

WestLAND Group

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Mapping Manager

Rancho Cucamonga, CA · On-site

$135K - $185K/yr

Bachelor of Science degree in Geospatial Science or a related field, * 10+ years of Mapping experience, (subdivision mapping, Record of Survey, corner records, ALTA's, ect. * Licensed as a ...

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All JobsGeospatial Science JobsGeospatial Science Jobs in California

Geospatial Science information

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$61.7K

$76.3K

$91.3K

How much do geospatial science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for geospatial science 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 is a Geospatial Science job?

A Geospatial Science job involves collecting, analyzing, and interpreting spatial data to understand geographic patterns and relationships. Professionals in this field use technologies like GIS (Geographic Information Systems), remote sensing, and GPS to support decision-making in areas such as urban planning, environmental management, and disaster response. Roles may include GIS analysts, cartographers, surveyors, or remote sensing specialists. These jobs are found in industries like government, agriculture, transportation, and defense. Strong analytical skills and proficiency in geospatial software are essential for success in this field.

What are the typical daily responsibilities for someone working in Geospatial Science?

Professionals in Geospatial Science typically spend their days collecting, analyzing, and interpreting spatial data using GIS and remote sensing technologies. Responsibilities often include creating digital maps, conducting spatial modeling, managing geospatial databases, and supporting environmental or urban planning projects. Collaboration with engineers, surveyors, and project managers is common, as is the need to present findings to stakeholders through reports or visualizations. The role offers a dynamic mix of independent technical work and teamwork, making it ideal for those who enjoy both in-depth analysis and collaborative problem-solving.

What are the key skills and qualifications needed to thrive in the Geospatial Science position, and why are they important?

To succeed in Geospatial Science, you need strong analytical skills, a background in geography or environmental science, and proficiency in spatial data analysis. Familiarity with GIS software (like ArcGIS or QGIS), remote sensing tools, and certifications such as GISP or Esri Technical Certification are highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you work with interdisciplinary teams and convey complex spatial information. These competencies are crucial for ensuring accurate data interpretation and impactful decision-making in projects involving mapping, planning, or resource management.

What are popular job titles related to Geospatial Science jobs in California? For Geospatial Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Geospatial Science jobs in California look for? The top searched job categories for Geospatial Science jobs in California are:
What cities in California are hiring for Geospatial Science jobs? Cities in California with the most Geospatial Science job openings:
Geospatial Science jobs near you

Senior Geospatial Scientist

Matter Intelligence

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision

Posted 7 days ago

Job description

About Matter Intelligence
Welcome to Matter, where we are building the future of vision AI: pairing a world-first sensor that sees molecular chemistry, temperature, and 3D shape with a Large World Model that will be the most powerful intelligence engine for our physical world. This system doesn't just see what something looks like; it understands everything from a single pixel. We call this Superintelligent Vision.
You'll join a team that has delivered technologies to Mars for NASA/JPL, co-founded and led infrastructure for OpenAI, designed cutting-edge sensors for U.S. Defense, and invented core algorithms for spectral and 3D imaging. We've come together to build the next infrastructure for vision and intelligence in the physical world.
About the Role
We are seeking a Senior Geospatial Scientist to lead the development of algorithms and data pipelines that transform our ultraspectral imagery into actionable intelligence. This role sits at the intersection of remote sensing science, machine learning, and scalable cloud infrastructure-turning raw hyperspectral data into validated, production-ready data products.
You will design and implement physics-informed ML algorithms, build robust AWS-based processing pipelines, and ensure the scientific validity of every output-from sensor physics through final data products. Your work will directly enable Matter's mission to deliver transformative Earth-observation capability across industries.
Key Responsibilities
Algorithm Development
  • Design and implement Machine Learning (ML) and physics-informed algorithms for hyperspectral data analysis.
  • Develop spectral unmixing, classification, and regression models for diverse geospatial applications.
  • Translate domain science (agriculture, mineralogy, ecology, aquatics) into validated algorithmic approaches.
  • Leverage modern AI tools to accelerate code generation and problem-solving.

Pipeline Architecture
  • Build and maintain scalable data processing pipelines on AWS to handle large-scale geospatial datasets.
  • Architect systems for radiometric correction, atmospheric compensation, and geometric orthorectification.
  • Optimize pipelines for throughput, latency, and cost across petabyte-scale imagery.

Scientific Validation
  • Evaluate the efficacy and accuracy of data products with rigorous statistical validation.
  • Maintain deep scientific understanding of all pipeline elements-from sensor physics to final output.
  • Design and execute calibration/validation campaigns using ground truth and reference data.

Team Collaboration
  • Partner with the Image Processing team to refine algorithms and support high-volume data processing.
  • Work closely with sensor engineers, systems engineers, and mission operations to ensure end-to-end data quality.
  • Contribute to technical proposals, publications, and customer engagements.

What Success Looks Like
  • Production-ready algorithms delivering validated data products at scale.
  • Robust, well-documented pipelines handling diverse hyperspectral workflows.
  • Clear scientific validation demonstrating data product accuracy and reliability.
  • Cross-functional partnerships enabling seamless sensor-to-insight workflows.

Qualifications
Required
  • PhD in a Geospatial-related field with 2+ years of experience, OR Master's degree with 5+ years of experience.
  • Proven experience processing hyperspectral reflectance data and developing associated algorithms.
  • Experience applying geospatial analysis in at least two distinct domains (e.g., Agriculture, Mineralogy, Ecology, Cryosphere, Aquatics).
  • Strong proficiency in Scientific Computing (Python, NumPy, SciPy, xarray, rasterio, GDAL).
  • Experience with AWS cloud infrastructure (S3, EC2, Lambda, Batch, or similar).
  • Deep understanding of math/statistics and geospatial fundamentals (coordinate projections, remote sensing instrumentation, GIS theory).
  • Demonstrated high proficiency in using LLMs (ChatGPT, Gemini, Claude) for coding productivity and workflow optimization.

Preferred
  • Experience with spaceborne or airborne remote sensing missions.
  • Familiarity with atmospheric correction models (e.g., MODTRAN, 6S, FLAASH).
  • Experience with deep learning frameworks (PyTorch, TensorFlow) for geospatial applications.
  • Track record of publications or patents in remote sensing or geospatial science.
  • Experience in rapid development or startup environments.

Location
This role is based in San Francisco, CA, with onsite presence required (temporary remote flexibility may be considered). Ability to travel to San Francisco Bay Area or El Segundo offices as needed.
ITAR Requirements
To comply with U.S. export regulations, applicants must be one of the following:
  • A U.S. citizen or national
  • A lawful permanent resident (green card holder)
  • Eligible to obtain required authorizations from the U.S. Department of State

Employee Offerings & Benefits
At Matter, we believe in rewarding high performance and providing the support you need to thrive. Our compensation and benefits package includes:
  • Compensation: Competitive total package based on experience.
  • Equity: Early-stage equity package so you share directly in Matter's growth and success.
  • Health & Wellness: 100% employer-paid health, dental, and vision coverage.
  • Growth: Opportunities to expand into leadership, strategic accounts, or cross-functional roles as we scale.

Who You Are
You are a scientist-engineer who bridges deep domain expertise with production-grade software. You think rigorously about data quality, communicate clearly with both technical and non-technical stakeholders, and thrive in environments where your work directly shapes products that matter.

Apply