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Geospatial Computer Vision Engineer Jobs (NOW HIRING)

Augusta Hitech

$82K - $97K/yr

C++, Computer Vision, PyTorch, Tensor Country: United States Role Summary We are seeking a highly skilled Computer Vision Engineer to design, develop, and deploy real-time defect detection systems ...

Sidglobal

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

Bellevue, United States | Posted on 04/07/2026 Weare seeking a highly skilled and innovative Computer Vision Engineering to leadthe lifecycle of complex cross-functional projects within our North ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K/yr

Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices * Collaborate with cross-functional ...

Compunnel

Computer Vision Engineer

Chicago, IL · On-site

$114K - $135K/yr

The Computer Vision Engineer will lead the end-to-end development of AI models and production-ready solutions for sustainability claim verification. The role combines computer vision, YOLO-based logo ...

MOLG Inc.

Computer Vision Engineer

Sterling, VA · On-site

$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.

TEEMA Solutions Group

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

... Computer Engineering, Electrical Engineering, or related field 3+ years of computer vision experience in real-time, product-focused environments Strong Python skills with OpenCV or similar libraries ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

... Computer Engineering, Machine Learning, or equivalent practical experience • Experience shipping ML models to production • Background in computer vision or machine learning, with focus on areas ...

Mill

Computer Vision Engineer

San Bruno, CA

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

Mill

Computer Vision Engineer

San Bruno, CA

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

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 ...

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 ...

Wisconsin

Computer Vision Engineer

Madison, WI · On-site

$74K/yr

The Computer Vision Engineer will lead efforts to develop sophisticated image analysis methods and cutting-edge approaches for analyzing optical images of biological samples. This position will ...

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 ...

Observable

$82K - $97K/yr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and ...

Observable Space

Computer Vision Engineer

Los Angeles, CA · On-site

$190K - $230K/yr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and ...

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Geospatial Computer Vision Engineer information

See salary details

$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, 75% Full Time, 18% 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

On-site

Augusta Hitech
IT Services • 51 - 200 employees
Learn more about Augusta Hitechexternal

$82K - $97K/yr

Other

Posted 9 days ago

Key responsibilities

  • Design, develop, and deploy real-time defect detection systems for industrial automation pipelines.

  • Integrate high-speed cameras, industrial PCs, and PLCs to capture, process, and label data at high throughput.

  • Implement object detection and image classification algorithms to identify micro-defects on production lines.

Job description

Required Skills: C++, Computer Vision, PyTorch, Tensor

Country: United States

Role Summary

We are seeking a highly skilled Computer Vision Engineer to design, develop, and deploy real-time defect detection systems for our industrial automation pipelines. In this role, you will bridge the gap between advanced machine learning models and physical manufacturing hardware. You will be responsible for integrating high-speed cameras, Industrial PCs (IPCs), and Programmable Logic Controllers (PLCs) to capture, process, and label data at high throughput, ensuring zero-defect quality control on the production floor.

Key Responsibilities

Design and implement robust object detection and image classification algorithms specifically tuned for identifying micro-defects on fast-moving production lines.

Integrate and calibrate high-speed industrial cameras, specialized lighting, and optical setups to ensure optimal image quality for the vision models.

Establish low-latency communication pipelines between the computer vision systems and PLCs to trigger physical sorting or rejection mechanisms in real-time.

Optimize deep learning models for edge deployment using hardware acceleration to meet strict cycle-time requirements.

Develop and maintain automated data collection and labeling pipelines to continuously feed and improve the accuracy of the defect detection models.

Troubleshoot system performance on the manufacturing floor, addressing issues related to camera triggering, lighting fluctuations, and model drift.

Required Programming Languages

C++: Essential for writing highly optimized, multithreaded applications necessary for real-time, low-latency image processing and inferencing on the edge.

Python: Required for rapidly prototyping, training, testing, and refining deep learning models, as well as managing the data processing and labeling scripts.

Structured Text / Ladder Logic (Familiarity): While not strictly required to be an expert, a working knowledge of IEC 61131-3 PLC programming languages is crucial for effectively communicating and designing handshakes with automation engineers.

Required Experience & Technical Skills

High-Speed Imaging Hardware: Proven hands-on experience with industrial camera interfaces (GigE Vision, CoaXPress, Camera Link), frame grabbers, and industrial optics.

Industrial Communication Protocols: Experience seamlessly passing data between Windows/Linux edge computers and PLCs using protocols like OPC UA, Modbus TCP/IP, Ethernet/IP, or PROFINET.

Computer Vision & Deep Learning Frameworks: Deep practical knowledge of traditional computer vision (OpenCV) alongside modern deep learning frameworks (PyTorch, TensorFlow) and architectures suited for fast inference (e.g., YOLO variants).

Hardware Acceleration & Edge AI: Proven ability to deploy models onto industrial hardware (NVIDIA Jetson, x86 IPCs) using optimization toolkits like TensorRT or OpenVINO to maximize frame rates.

Real-Time System Design: Experience dealing with the complexities of concurrent processing, memory management, and preventing frame drops in continuous, 24/7 manufacturing environments.

Data Pipeline Management: Familiarity with tools and best practices for versioning datasets, managing synthetic data generation, and coordinating efficient image labeling workflows for quality control.

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