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Geospatial Computer Vision Engineer Jobs (NOW HIRING)

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3D Computer Vision Engineer

$114K - $134K/yr

They are seeking a 3D Computer Vision Engineer to develop software that transforms raw 3D scan data into reliable measurements and decisions for quality control in fabrication environments.

T3i, Inc.

Computer Vision Engineer - UAS

San Antonio, TX

$100K - $118K/yr

We are seeking a Computer Vision Engineer (CVE) to develop the Blackfoot's perception and visual autonomy stack. This role is critical to delivering robust onboard vision capabilities - object ...

Apple

Machine Learning/Computer Vision Engineer

Sunnyvale, CA · On-site

$130K - $154K/yr

We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.Responsibilities ...

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to ...

Apex Informatics

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132K - $156K/yr

... programming and refactoring skills and able to understand and debug heavily threaded code. Preferred Qualification: • MS or PhD in EE/CS • Theoretical knowledge in the field of computer vision ...

GRVTY

Computer Vision Engineer - Senior

Springfield, VA · On-site

$109K - $150K/yr

They are seeking a Senior Computer Vision Engineer to design and deploy advanced computer vision systems that support critical defense operations, collaborating closely with cross-functional teams.

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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 Jun 7, 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 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 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.

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 Geospatial Computer Vision Engineers?

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.
Infographic showing various Geospatial Computer Vision Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 93% Full Time, and 6% Part Time. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $96,989 per year, or $46.6 per hour.
Senior Computer Vision Engineer

Senior Computer Vision Engineer

Hired Recruiters

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Posted 24 days ago

Job description

JOB DESCRIPTION
AI-powered biology automation.
We are searching for a full-time Senior Computer Vision Engineer to be part of the founding team and work on automating life science methodology.
As a Senior Computer Vision Engineer, you will shape the direction of our AI perception technology and your work will be essential to the success of the company at the proof of concept stage and beyond. You will lead the application of the best available deep learning-based computer vision models to our innovative biology automation platform.
The Opportunity
  • Partner with founder to architect our production AI perception system
  • Own the computer vision pipeline and deploy models to production
  • Ship quality, well-tested code on a modern technology stack
  • Lead software design discussions and code reviews and help shape product direction
  • Encourage, motivate, and mentor other engineers to hone their craft

You'll Need
  • Proven history of designing, training, and deploying CNN computer vision models to production
  • 5+ years of experience in computer vision, perception, and deep learning
  • Experience with PyTorch and OpenCV
  • Experience designing and operating labeling systems
  • Strong written and verbal communication and collaboration skills
  • Desire to grow and learn while innovating on a system that grows and learns
  • Aptitude and passion for technical leadership, code and model reviews, and development of teammates

Bonus
  • BS, MS or PhD in Computer Science, Robotics, or related field
  • Experience with C/C++
  • Experience with ResNet, MobileNet, and DeepStream
  • Experience with multi-camera object tracking, depth, and pose estimation
  • Experience deploying models with GCP Services Vertex AI and Vision OCR
  • Experience with scientific computing or laboratory automation
  • Prior academic publication record in computer vision or related field
  • Experience working in a collaborative and fast-paced Agile team environment
  • Passion for biology and a startup work environment!

Culture
We think culture is something we build together, and should be used to motivate and cohere, rather than to exclude. If you are curious and excited about science and technology, enjoying working in a high autonomy, high accountability, and hands on environment, there's a good chance you'll be energized working at Methid. We have a strong goal-oriented and asynchronous culture, so cogent and pithy writers will flourish. We emphasize learning and transparency and look for people who can expand the product's capabilities as well as their own.

Apply