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Google Earth Engine Jobs in California (NOW HIRING)

Fujitsu

Principal Researcher

Santa Clara, CA · On-site

Proven experience with big geospatial data tools (e.g., Google Earth Engine, Planetary Computer, Xarray, Rasterio, GDAL, Apache Sedona). * Strong programming proficiency in Python and modern data ...

Fujitsu Careers

Principal Researcher

Santa Clara, CA · On-site

$174 - $249/hr

Proven experience with big geospatial data tools (e.g., Google Earth Engine, Planetary Computer, Xarray, Rasterio, GDAL, Apache Sedona). * Strong programming proficiency in Python and modern data ...

ERM

Visual Simulations Technician

Irvine, CA · On-site

$95K - $121K/yr

Experience with Google Earth Pro. * Experience with additional Adobe Creative Suite products ... Experience with Unreal Engine or Unity for real-time interactive environments. Key Responsibilities:

Erm

Visual Simulations Technician

Walnut Creek, CA · On-site

$95K - $121K/yr

Experience with Google Earth Pro. * Experience with additional Adobe Creative Suite products ... Experience with Unreal Engine or Unity for real-time interactive environments. Key Responsibilities:

ERM

Visual Simulations Technician

Walnut Creek, CA · On-site

$95K - $121K/yr

Experience with Google Earth Pro. * Experience with additional Adobe Creative Suite products ... Experience with Unreal Engine or Unity for real-time interactive environments. Key Responsibilities:

Erm

Visual Simulations Technician

Irvine, CA · On-site

$95K - $121K/yr

Experience with Google Earth Pro. * Experience with additional Adobe Creative Suite products ... Experience with Unreal Engine or Unity for real-time interactive environments. Key Responsibilities:

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Google Earth Engine information

What is a Google Earth Engine?

A Google Earth Engine job typically involves working with Google's cloud-based geospatial analysis platform to process and analyze satellite imagery and geospatial data. Professionals in this role use JavaScript or Python within the Earth Engine API to conduct remote sensing, land-use monitoring, environmental research, and spatial data visualization. These jobs are common in fields like environmental science, urban planning, agriculture, and disaster management, where large-scale geographic data analysis is required.

What are the common responsibilities of a Google Earth Engine professional?

Professionals in Google Earth Engine roles are typically responsible for collecting, processing, and analyzing large datasets derived from satellite or aerial imagery. Their daily tasks may include developing scripts to automate geospatial workflows, creating visualizations and maps, and generating actionable insights for environmental monitoring or resource management. Collaboration with cross-functional teams—such as data scientists, researchers, and decision-makers—is common to ensure that analytical results are clearly understood and practically applied. Staying updated on new data sources, platform features, and best practices is also an essential part of the role.

What skills and qualifications are needed for a Google Earth Engine role?

To thrive in a Google Earth Engine role, you need a solid background in remote sensing, geospatial analysis, and programming (especially JavaScript and Python), along with a relevant degree in environmental science, geography, or a related field. Experience with the Google Earth Engine platform, geospatial data processing tools, and cloud computing is highly valued. Strong analytical thinking, problem-solving, and effective communication skills help professionals collaborate and clearly present findings. These qualifications are vital to efficiently analyze large-scale geospatial data and translate insights into real-world environmental and business solutions.

What are the most commonly searched types of Google Earth Engine jobs in California?

The most popular types of Google Earth Engine jobs in California are:

What are popular job titles related to Google Earth Engine jobs in California?

For Google Earth Engine jobs in California, the most frequently searched job titles are:

What job categories do people searching Google Earth Engine jobs in California look for?

The top searched job categories for Google Earth Engine jobs in California are:

What cities in California are hiring for Google Earth Engine jobs?

Cities in California with the most Google Earth Engine job openings:

Google Earth Engine jobs near you
Infographic showing various Google Earth Engine job openings in California as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Principal Researcher

Fujitsu

Santa Clara, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Santa Clara, California
Location Flexibility: Multiple Locations in Country
Req Id: 11490
Posting Start Date: 8/20/26
At Fujitsu, we're on a mission to create a more sustainable world by building trust in society through innovation. Since our inception in Japan in 1935, Fujitsu has consistently been at the forefront of technological advancement. Today, we stand as a global leader in digital transformation, dedicated to reshaping businesses and society in the digital age.
What truly sets us apart is our family of nearly 130,000 dedicated employees that spans over 50 countries, forming a diverse and dynamic community. We are committed to helping our employees grow and develop their careers. We believe that everyone has the potential to achieve great things, and we are dedicated to providing the resources and opportunities that our employees need to succeed.
We invite you to take the next step in your career journey and apply. Thank you for being a part of Fujitsu. We look forward to growing together toward a brighter future.
Principal Researcher at Fujitsu's Space Data Frontiers Research Center
The Space Data Frontiers Research Center (Space Center) at Fujitsu specializes in pioneering business opportunities in space-related technologies. The center focuses on using AI and advanced computing to process, analyze, and utilize data from space in real-time, aiming to support both Earth-bound industries and future human space exploration.
We are seeking a visionary and hands-on Principal Researcher to define and drive the scientific and technical foundation of our next-generation Earth Intelligence Platform. In this role, you will lead research at the intersection of Earth Observation (EO), geospatial analytics, and artificial intelligence (AI/ML). You will architect scalable, multi-modal data synthesis frameworks that translate vast streams of satellite, aerial, in-situ, and climate data into actionable insights for global decision-making, sustainability, and industrial applications.
As a senior research leader, you will bridge the gap between cutting-edge scientific innovation, enterprise-grade platform architecture, and real-world strategic impact.
Key Responsibilities
1. Research Leadership & Strategy
  • Define the Scientific Roadmap: Lead the long-term research vision for multi-source Earth data fusion, physical-AI modeling, and geospatial intelligence.
  • Algorithm & Model Development: Conceptualize and prototype novel machine learning models (e.g., geospatial foundation models, computer vision for EO, spatio-temporal neural networks, and physical-data hybrid models).
  • Cross-Domain Innovation: Develop methods for scaling planetary-level analysis, including land-use monitoring, disaster response dynamics, climate risk modeling, and global supply chain tracking.

2. Platform Architecture & Data Integration
  • Multi-Modal Data Fusion: Architect approaches to integrate heterogeneous datasets-including optical, SAR, hyperspectral, IoT sensor networks, weather, and oceanographic data-into unified, queryable frameworks.
  • Scalable Analytics: Partner with engineering teams to translate experimental algorithms into production-ready, low-latency APIs and platform capabilities.
  • Standards & Interoperability: Ensure platform alignment with modern geospatial standards (e.g., STAC, COG, OGC standards) and big-data processing paradigms.

3. Collaboration & External Thought Leadership
  • Publication & IP: Publish high-impact research in top-tier peer-reviewed journals and conference proceedings (e.g., Remote Sensing of Environment, IEEE TGRS, NeurIPS, ICML). File patents where applicable.
  • Stakeholder Engagement: Translate complex technical and planetary science concepts into clear value propositions for executive leaders, industry partners, and institutional stakeholders.
  • Mentorship: Guide and mentor intern researchers and engineers to foster a culture of research rigor and fast-paced experimentation.

Qualifications & Experience
Required Qualifications
  • Education: Ph.D. in Remote Sensing, Geospatial Information Science (GIS), Computer Science, Earth System Science, Geophysics, or a closely related quantitative field.
  • Experience: 2+ years of post-PhD research experience (or equivalent industry experience) developing algorithms and systems for large-scale geospatial or earth data processing.
  • Technical Mastery:
    • Deep expertise in computer vision and ML/DL frameworks (PyTorch, TensorFlow) applied to spatial/temporal satellite imagery (SAR, Optical, Thermal).
    • Proven experience with big geospatial data tools (e.g., Google Earth Engine, Planetary Computer, Xarray, Rasterio, GDAL, Apache Sedona).
    • Strong programming proficiency in Python and modern data pipeline tools.
  • System Design: Track record of taking complex research models from concept to prototype and helping transition them into scalable cloud platforms (AWS, GCP, or Azure).

Preferred Qualifications
  • Experience with geospatial foundation models (GFMs) and self-supervised learning on spatial-temporal data.
  • Demonstrated domain knowledge in climate impact modeling, carbon accounting, maritime/logistics analytics, or disaster resilience.
  • Strong publication track record in top remote sensing or computer vision conferences/journals.
  • Experience collaborating on open-source geospatial projects or standard-setting bodies.

Core Competencies
  • Systemic & Strategic Thinking: Ability to see how individual algorithms power broader platform capabilities and business value.
  • Scientific Rigor: Uncompromising standard for data quality, uncertainty quantification, and model validation.
  • Collaborative Leadership: Exceptional communication skills with the ability to bridge conversations between deep-tech scientists, software engineers, and business executives.

#Americas_Priority
Fujitsu is the largest IT company in Japan and among the largest in the world. Fujitsu's mission is to make the world more sustainable by building trust in society through innovation. Join us in shaping the future of the world.
As of the date of this posting, a good faith estimate of the current pay scale for this position is:
$174,126 to $248,752
Placement in the range depends on several factors such as experience and skills and may change over time. Additionally, this role may be eligible for an annual bonus, which is based on individual
We comply with all applicable minimum wage laws.
Benefits available include:
• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k
• Paid Time Off
• Any leave required under federal, state, or local law, as applicable, such as leave under the Colorado Healthy Families and Workplaces Act.
Benefits are subject to vesting and eligibility requirements.
Applications are being accepted on an ongoing basis.
Relocation Supported: Yes
Visa Sponsorship Approved: No

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