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Geospatial Computer Vision Engineer Jobs (NOW HIRING)

MOLG Inc.

Computer Vision Engineer

Sterling, VA

$110K - $130K/yr

As a Computer Vision Engineer, you will be responsible for: * Continuous design, development, testing, and deployment of 2D and 3D vision capabilities incorporated into the Molg Microfactories.

Corning

Computer Vision Engineer

Painted Post, NY

$69K - $95K/yr

Corning Environmental Technologies (CET) is seeking a Computer Vision Engineer to join the Engineering Measurements & Controls group. This entry-level role focuses on developing and supporting ...

Corning

Computer Vision Engineer

Painted Post, NY

$69K - $95K/yr

Corning Environmental Technologies (CET) is seeking a Computer Vision Engineer to join the Engineering Measurements & Controls group. This entry-level role focuses on developing and supporting ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

SumerSports LLC

Computer Vision Engineer

$114K - $134K/yr

We're hiring a hands-on Computer Vision Engineer to build and improve sports video intelligence models-detection, tracking, pose, event understanding, and multi-view reasoning. You'll spend most of ...

TEEMA

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or related field * 3+ years of computer vision experience in real-time, product-focused environments * Strong ...

Infosys

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

Required Skill and Experience - Expertise in developing real-time computer vision models - Python ... Overview The Infosys Engineering unit is dedicated to amplifying product-centric value delivery ...

Merlin Labs

Computer Vision Engineer

Boston, MA

$121K - $142K/yr

Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms. * Conduct experiments, evaluate performance, and refine algorithms for accuracy ...

BrightAI Corporation

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Intern - Data Labeling & Annotation Type: Temporary Duration: 6 months - 12 months ... Mentorship from CV engineers working on production systems * Hands-on experience with YOLO, PyTorch ...

EE Recruiters

Computer Vision Engineer

Santa Clara, CA

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

Merlin Labs

Computer Vision Engineer

Boston, MA

$121K - $142K/yr

Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms. * Conduct experiments, evaluate performance, and refine algorithms for accuracy ...

BrightAI Corporation

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Intern - Data Labeling & Annotation Type: Temporary Duration: 6 months - 12 months ... Mentorship from CV engineers working on production systems * Hands-on experience with YOLO, PyTorch ...

Arthrex

Computer Vision Engineer Sr I

Naples, FL · On-site

$105K - $123K/yr

Computer Vision Engineer Sr I Arthrex, Inc. is a global medical device company and a leader in new product development and medical education in orthopedics. Arthrex is actively searching for a ...

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All JobsGeospatial Computer Vision Engineer Jobs

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.
Computer Vision Engineer

Computer Vision Engineer

Burnetts Staffing

Fort Worth, TX

$43.27 - $61/hr

Full-time

Medical, Dental, Vision

Posted 16 days ago

Job description

Our client, a rapidly growing organization operating in a complex industrial environment, is seeking a Computer Vision Engineer in Fort Worth, TX to design and build a real-time video analytics platform. This system processes streams from dozens of cameras to detect, track, and analyze human movement, converting video data into actionable operational insights.
This is a highly hands-on, end to end role where you will own the perception pipeline from video ingestion through model inference to event delivery. The ideal candidate is a strong builder who thrives in production environments, enjoys solving real-world challenges, and is comfortable making key technical decisions around architecture, model selection, and performance trade offs.
You will work closely with a small, fast-moving team and have direct influence on future system capabilities, including safety monitoring, activity recognition, and anomaly detection.


Required Qualifications :
  • 3+ years of experience developing and deploying computer vision solutions in production
  • Strong experience with multi-object tracking (e.g., DeepSORT, ByteTrack, BoT-SORT, or similar)
  • Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow)
  • Experience designing and optimizing real-time video pipelines (RTSP, multi-stream processing)
  • Familiarity with inference optimization (TensorRT, ONNX, quantization techniques)
  • Ability to work in dynamic environments with evolving requirements
  • Strong communication skills with the ability to document and explain technical decisions

Hours: Monday - Friday 8:00 AM to 5:00 PM

Benefits :
  • Medical
  • Dental
  • Vision
  • 401(k)
Compensation: $43.27-61.00/ Hourly
For immediate consideration, apply now!
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