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Entry Level Computer Vision Engineer Jobs in Georgia

Data Analytics and Engineering using SQL, Snowflake, Databricks, Tableau, and Power BI Real Project ... Statistics, LLMs, Snowflake, Databricks, SageMaker, Computer Vision No experience yet? No problem ...

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

... Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

... Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent ... Bachelor's degree in computer science, information systems, statistics, or a related analytical ...

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Showing results 1-20

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 Jun 19, 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:
Infographic showing various Entry Level Computer Vision Engineer job openings in Georgia as of June 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $102,605 per year, or $49.3 per hour.
Opening for Humanoid Robotics Engineer - Atlanta, GA

Opening for Humanoid Robotics Engineer - Atlanta, GA

Aptuity Solutions, Inc

Atlanta, GA โ€ข On-site, Remote

Other

Posted 19 days ago


Job description

We have an opening for Humanoid Robotics Engineer

Location - Atlanta, GA

Full time permanent position

Required only local candidate

Key Responsibilities
Design and implement a robust remote control architecture for the Unitree humanoid robot with sensor integration
Build a reliable communication interface for teleoperation and semi-autonomous modes.
Integrate perception systems (e.g., cameras, LiDAR, IMU) for enhanced situational awareness.
Conduct real-time testing, troubleshooting, and performance optimization.
Document system design, codebase, and experimental results.
Collaborate with the team to ensure modularity, scalability, and safety compliance.

Qualifications
Currently pursuing a Bachelor s, Master s, or PhD in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
Strong problem-solving skills and an innovative mindset.
Familiarity with robot kinematics, dynamics, and control theory.
Experience with real-time communication protocols (e.g., ROS2, UDP, TCP/IP).
Knowledge of robot perception systems (computer vision, sensor fusion).
Ability to work independently in a remote, collaborative environment.

Preferred Skills
Hands-on experience with Unitree robots (G1, H1, H1 Pro, or similar platforms).
Background in deep learning for robotics (motion planning, reinforcement learning, pose estimation).
Familiarity with simulation environments (Gazebo, Isaac Sim, PyBullet, or Mujoco).
Programming skills in Python, C++, or ROS (Robot Operating System).

Benefits
Opportunity to work on cutting-edge humanoid robotics technology.
Flexible remote internship and growth opportunities.
Gain real-world experience in robotics system integration and robotics control engineering.
Potential for future full-time employment based on performance.