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Geospatial Computer Vision Engineer Jobs (NOW HIRING)

1872 Consulting

Sr. Computer Vision Engineer

Herndon, VA · On-site

$107K - $147K/yr

Job Summary : 1872 Consulting is seeking a Senior Computer Vision Engineer to design and implement ... an understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards • ...

AIToolboard

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

/Computer Vision Engineer# Computer Vision EngineerSID Global SolutionsBellevue, USFull-time## About the RoleJob InformationJob Opening IDZR\_1167\_JOBDate Opened04/07/2026IndustryIT ServicesJob ...

1872 Consulting

Computer Vision Engineer

Chicago, IL · On-site

$115K - $135K/yr

They are seeking a Computer Vision Engineer to develop and implement innovative computer vision solutions for sports video data and collaborate with various teams to enhance their systems.

Sapios

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

Computer Vision Engineer Location: USA only. We're looking for a passionate Computer Vision Engineer to join our core engineering team. You'll work on algorithms that power the ARTS platform: from ...

Foresight Data Machines

Computer Vision Engineer

Austin, TX · On-site

$110K - $130K/yr

ROLE As a Computer Vision Engineer, you will own the core visual perception systems powering ScrapEye and our upcoming industrial AI products. You will build, deploy, and iterate on production-grade ...

Nutanix

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Engineering Group, Engineering Group > Video Systems, HW ArchitectureGeneral Summary:Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most advanced Snapdragon ...

Molg

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

As a Computer Vision Engineer, you will: * Drive the architecture, development, and deployment of advanced 2D and 3D computer vision systems that enable Molg's robotic microfactories. * Own the full ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

We are seeking a Senior Computer Vision Engineer to join our team. Who you'll be working with: * Dr. Amir Zamir - maker of 4M, Taskonomy, FlexToK, winner of Best Paper award (CVPR, SIGGRAPH) * Dr.

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Engineering Group, Engineering Group > Video Systems, HW Architecture General Summary: Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most advanced Snapdragon ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $147K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$148K - $222K/yr

Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video encoder, decoder ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $275K/yr

We are seeking a Senior Computer Vision Engineer to join our team. Who you'll be working with: * Dr. Amir Zamir - maker of 4M, Taskonomy, FlexToK, winner of Best Paper award (CVPR, SIGGRAPH) * Dr.

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Geospatial Computer Vision Engineer information

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$5

$46

$90

How much do geospatial computer vision engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for geospatial computer vision engineer in the United States is $46.63, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $57.69 per hour, depending on experience, location, and employer.

What is a geospatial computer vision engineer?

Geospatial Computer Vision Engineers are professionals who combine expertise in computer vision, machine learning, and geographic information systems (GIS) to analyze and interpret spatial data from sources such as satellite imagery, aerial photography, and remote sensors. They develop algorithms and software to extract meaningful information—like object detection, land use classification, and mapping—from complex geospatial datasets. Their work supports a wide range of applications, including environmental monitoring, urban planning, disaster response, and autonomous navigation. By bridging computer vision with geospatial technologies, these engineers help organizations make data-driven decisions about the physical world.

How does a geospatial computer vision engineer typically collaborate with other teams during a project?

Geospatial Computer Vision Engineers frequently work alongside data scientists, GIS specialists, and software engineers to develop and implement solutions that analyze and interpret spatial imagery. Collaboration often involves integrating machine learning models with geospatial datasets, refining algorithms based on feedback, and ensuring that outputs align with client or project requirements. Regular cross-functional meetings and code reviews are common, fostering an environment where technical expertise and domain knowledge are shared to enhance project outcomes and innovation.

What are the key skills and qualifications needed to thrive as a geospatial computer vision engineer, and why are they important?

To thrive as a Geospatial Computer Vision Engineer, you need a solid background in computer vision, remote sensing, geospatial data analysis, and a degree in computer science or a related field. Familiarity with programming languages like Python or C++, machine learning libraries (such as TensorFlow or PyTorch), GIS software, and cloud computing platforms is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help engineers collaborate and innovate in multidisciplinary teams. These competencies are crucial for developing accurate, scalable solutions that interpret complex geospatial imagery for real-world applications.

What is the difference between Geospatial Computer Vision Engineer vs GIS Analyst?

AspectGeospatial Computer Vision EngineerGIS Analyst
Required CredentialsBachelor's/Master's in Computer Science, Geospatial Tech, or related; proficiency in computer vision and programmingBachelor's in Geography, GIS, or related; expertise in GIS software and spatial data analysis
Work EnvironmentTech companies, research labs, or industries using AI and computer vision for geospatial dataGovernment agencies, urban planning, environmental agencies, and GIS firms
Industry UsageDeveloping algorithms for satellite imagery, drone data, and mapping applicationsMapping, spatial data management, and spatial analysis for planning and decision-making

While both roles work with geospatial data, Geospatial Computer Vision Engineers focus on developing AI and computer vision algorithms for analyzing imagery, whereas GIS Analysts specialize in managing and analyzing spatial data using GIS tools. The roles often overlap in industries like mapping and remote sensing but differ in technical focus and skill sets.

What are popular job titles related to Geospatial Computer Vision Engineer jobs?

For Geospatial Computer Vision Engineer jobs, the most frequently searched job titles are:

Infographic showing various Geospatial Computer Vision Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $96,989 per year, or $46.6 per hour.

Computer Vision Engineer

Rancho Santa Margarita, CA • On-site

Applied Medical
Medical Equipment and Supplies Manufacturing • 1 - 5K employees
Learn more about Applied Medicalexternal

$80K - $140K/yr

Other

Retirement, PTO

Re-posted 9 days ago

Applied Medical rating

8.0

Company rating: 8.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

Position Description

The Computer Vision Engineer develops and optimizes computer vision algorithms and deep learning models for image and video analysis at Applied Medical. This computer vision and machine learning engineering role integrates and deploys scalable, high-performance vision-based solutions into real-world products. The Computer Vision Engineer enhances model accuracy, improves system efficiency, and contributes to AI-driven products that advance computer vision technology across Applied Medical.

Key Responsibilities
  • Design, develop, and implement computer vision algorithms for object detection, segmentation, tracking, and feature extraction in image and video analysis
  • Collaborate with cross-functional teams to deploy and embed computer vision capabilities into products, including the Simsei simulation program
  • Optimize the accuracy, efficiency, and scalability of existing computer vision systems for real-world applications
  • Research emerging computer vision technologies and methodologies, applying insights to improve model performance
  • Test, validate, and deploy models, maintaining robustness and reliability in production environments
  • Monitor and troubleshoot deployed systems, resolving performance issues and implementing enhancements over time
Success in This Role Looks Like
  • Improving model accuracy and system efficiency across deployed computer vision solutions
  • Delivering scalable vision-based features integrated cleanly into production products
  • Maintaining robust, reliable models in production environments
  • Resolving performance issues quickly to sustain accuracy and efficiency
  • Applying current research to advance product capabilities and innovation
Position Requirements

This position requires the following skills and attributes:

  • Bachelor's degree in computer science, computer engineering, electrical engineering, or a related engineering field with an emphasis on computer vision, or relevant experience
  • Minimum of three years of relevant work experience, or equivalent education and experience demonstrating the skills below
  • Strong analytical skills and a solid foundation in mathematics
  • Deep understanding of and hands‑on experience with image processing, computer vision, machine learning, and deep learning algorithms
  • Strong development skills in C++ or Python
  • Experience applying traditional computer vision and deep learning algorithms to problems such as object detection, segmentation, tracking, and feature extraction
  • Experience with data science and computer vision libraries, including NumPy, Pandas, SciPy, Matplotlib, Scikit‑learn, and OpenCV
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras
Preferred
  • Experience with medical image analysis or medical applications
  • Experience with image streaming and real‑time image analysis
  • Experience with computer graphics and visualization
  • Experience with database servers such as MySQL or SQL Server
  • Experience with cloud services such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP)
Benefits
  • Competitive compensation range: $80,000 - $140,000 / year (California)
  • Comprehensive benefits package
  • Training and mentorship opportunities
  • On‑campus wellness activities
  • Education reimbursement program
  • 401(k) program with discretionary employer match
  • Generous vacation accrual and paid holiday schedule
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