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Computer Vision Engineer Jobs in Lawrenceville, GA

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Comprehensive Health, Dental, and Vision Insurance * 401(k) Retirement Plan * Paid Time Off (PTO ...

... computer vision, sensor fusion, and networking technology to the military in months, not years ... About the Job As a Software Engineer in the Manufacturing Test organization, you will join a ...

Staff Software Engineer

Atlanta, GA · On-site

$150K - $160K/yr

Experience with AI/LLM integration including RAG, multi-agent workflows, or computer vision ... Performance engineering at scale across distributed systems * Security architecture and threat ...

Staff Software Engineer

Atlanta, GA · On-site

$150K - $180K/yr

Experience with AI/LLM integration including RAG, multi-agent workflows, or computer vision ... Performance engineering at scale across distributed systems * Security architecture and threat ...

Experience with AI/LLM integration including RAG, multi-agent workflows, or computer vision ... Performance engineering at scale across distributed systems * Security architecture and threat ...

Computer Vision (YOLO, ResNet, object tracking, OCR) * Expertise in: * Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face) * Data engineering and pipeline development ...

Computer Vision (YOLO, ResNet, object tracking, OCR) * Expertise in: * Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face) * Data engineering and pipeline development ...

Showing results 41-60

Computer Vision Engineer information

See Lawrenceville, GA salary details

$44.4K

$111.3K

$126K

How much do computer vision engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for computer vision engineer in Lawrenceville, GA is $111,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $120,500.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are popular job titles related to Computer Vision Engineer jobs in Lawrenceville, GA?

For Computer Vision Engineer jobs in Lawrenceville, GA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Lawrenceville, GA look for?

The top searched job categories for Computer Vision Engineer jobs in Lawrenceville, GA are:

What cities near Lawrenceville, GA are hiring for Computer Vision Engineer jobs?

Cities near Lawrenceville, GA with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in Lawrenceville, GA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 16% Part Time, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $111,347 per year, or $53.5 per hour.

Senior Software QA Engineer, Aviation

Atlanta, GA • On-site

Other

Posted 24 days ago


Job description

Responsibilities
  • Drive the quality, safety, and scale of our Drone as a First Responder (DFR) systems.
  • Test software interfaces and ensure reliability of integrated mechatronic systems.
  • Work at the intersection of physical hardware and cloud-connected software.
  • Ensure drones, docks, and radar accessories operate flawlessly when needed by first responders.
  • Evaluate existing drone and dock systems in Atlanta within the first 30 days.
  • Author and execute test plans for active software builds in the next 60 days.
  • Execute overarching QA validation strategy and establish automated testing pipelines for next-generation systems beyond 90 days.
Qualifications
  • Bachelor’s or Master’s degree in Engineering, Computer Science, or a related technical field
  • 8+ years of QA, test, or systems engineering experience working on complex safety-critical mechatronic systems (e.g., robotics, autonomous vehicles, UAVs, or aerospace).
  • Demonstrated experience authoring detailed test cases, structuring test plans, and utilizing test case management platforms (such as Qase) to track execution metrics.
  • Technical understanding of serial communications (e.g., CAN, UART), computer vision, edge computing, and live data streaming.
  • Strong proficiency in Python, Bash, or similar scripting languages to build custom test scripts and modify test automation frameworks.
  • Mastery of Linux systems, log-level debugging, and using CLI tools to diagnose issues spanning across physical sensors, embedded microcontrollers, and cloud backends.
  • Proven ability to lead cross-functional initiatives, challenge architectural designs constructively with data, and navigate ambiguous, multi-disciplinary engineering problems.
  • Experience in drone or aviation systems and/or FAA Part 107 certification (nice-to-have).
  • Hands-on experience with AWS and cloud technologies, including visualization and backend database tools (e.g., Grafana, Sigma, Tableau) (nice-to-have).
  • Familiarity with simulation tools such as Gazebo (nice-to-have).
  • Familiarity with aviation safety standards, DO-178C, ISO 26262, or ASTM standards related to autonomous drone operations and DFR infrastructure (nice-to-have).
  • Familiarity with video streaming protocols (RTSP, WebRTC) and cellular data link performance optimization (LTE/5G) under varying environmental conditions (nice-to-have).
Core Competencies

Expertise in Quality Assurance and Systems Engineering for safety-critical mechatronic systems, with strong proficiency in Python and Linux. Proven ability to lead cross-functional initiatives and establish automated testing pipelines for drone systems.

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