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Entry Level Computer Vision Engineer Jobs in Georgia

... audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. At Dolby Laboratories, we ...

Responsibilities Entry Level Position: College Graduate - 2 years experience RoviSys offers a broad ... Medical, dental, and vision coverage * Retirement Ready: 401(k) with company match * Time Off:

Entry Level Civil Engineer

Newnan, GA · On-site

$55K - $63K/yr

... and application of computer aided design software; ability to communicate complete ideas ... has standard vision requirements; vocal communication is required for expressing or exchanging ...

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 ...

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 ...

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 ...

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Entry Level Computer Vision Engineer information

See Georgia salary details

$41K

$102.6K

$116.1K

How much do entry level computer vision engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for entry level computer vision engineer in Georgia is $102,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $111,000.00 per year, depending on experience, location, and employer.

What does an Entry Level Computer Vision Engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Vision Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.
What are the most commonly searched types of Computer Vision Engineer jobs in Georgia? The most popular types of Computer Vision Engineer jobs in Georgia are:
What are popular job titles related to Entry Level Computer Vision Engineer jobs in Georgia? For Entry Level Computer Vision Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Engineer jobs in Georgia look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in Georgia are:
Robotics Software Engineer

Robotics Software Engineer

Optimal Inc.

Embry Hills, GA • On-site

Contractor

Re-posted 18 days ago


Job description

Job Summary:

We are seeking a highly skilled and motivated Robotics Software Engineer to lead the development of a next-generation dual-arm, ROS 2-based manipulation system capable of operating with multiple grippers in a flexible automation environment.

In this role, you will be responsible for architecting and implementing a robust, scalable ROS 2 software stack that coordinates two robotic arms and enables advanced motion planning and 3D perception for complex manipulation tasks. You will own the end-to-end software lifecycle: from high-level architecture and simulation, down to real-time integration with industrial robot controllers, and 3D vision sensors.

Key Responsibilities

System Architecture (ROS 2 Dual-Arm)

Lead the design and implementation of a ROS 2-based dual-arm control architecture (nodes, topics, services, actions, lifecycle) that supports coordinated and independent arm motions.
Define interfaces and APIs for motion planning, perception, and gripper/tool management.
Motion Planning & Coordination

Develop, tune, and deploy advanced motion planning and manipulation algorithms using MoveIt 2 for dual-arm coordination (bimanual tasks, handovers, collision-aware trajectories).
Configure and maintain the kinematic models, planning scenes, and controllers for multiple robot arms and end-effectors.
Ensure safe, efficient trajectory generation in cluttered and dynamic environments.
Perception Pipeline Integration

Design and integrate 3D perception pipelines (point clouds, depth maps, 3D sensors such as Photoneo PhoXi, RealSense, ZED) for robust object detection, pose estimation, and scene understanding.
Fuse perception outputs with the planning scene to enable dual-arm, multi-gripper manipulation strategies (e.g., grasp selection, re-grasping, handover).
Software Development & DevOps

Write clean, efficient, production-quality C++ and Python code within the ROS 2 ecosystem (ament, colcon, ros2_control, MoveIt 2 plugins).
Establish and maintain CI/CD pipelines, code reviews, unit/integration tests, and documentation for the dual-arm system.

Required Qualification:

Master's degree in Robotics, Computer Science, Software Engineering, Electrical Engineering, or a related field.
ROS 2 Expertise: Proven, hands-on experience developing complex robotics applications using ROS 2 and its core concepts (Nodes, Topics, Services, Actions, lifecycle management).
Motion Planning: Deep understanding of kinematics, dynamics, and motion planning frameworks, with extensive hands-on experience using MoveIt 2.
Perception: Solid background in 3D computer vision and point cloud processing (PCL, OpenCV) for robotic manipulation tasks.
Programming Skills: Strong proficiency in modern C++ and Python.
System Integration: Experience interfacing with industrial robots and 3D vision hardware (e.g., RealSense, ZED).