Computer Vision Engineer

CNA Search; Georgia; On-site; USD 130,000 - 180,000; Full time

Job summary

CNA Search is seeking a Senior Computer Vision Engineer in Georgia to design, build, and deploy production-grade computer vision systems. This hands-on role spans deep learning, image and video processing, and real-time systems with close collaboration across software and hardware teams.

The position emphasizes delivering scalable CV pipelines and robust performance, with a focus on integration with embedded hardware and end-to-end deployment.

Qualifications

• 3+ years of experience building production-level computer vision systems.
• Bachelor’s or Master’s degree in Computer Science, Robotics, or a related technical field.

Responsibilities

• Design, implement, and optimize computer vision and ML algorithms.
• Build robust, scalable systems for processing large image and video datasets.
• Develop CV techniques for video processing and real-time applications.
• Build and optimize production computer vision pipelines.
• Collaborate with hardware engineers to integrate CV models and systems.
• Improve performance and reliability of deployed CV applications.

Skills

Computer vision

Deep learning

Python

C++

PyTorch

TensorFlow

Video processing

Analytical thinking

Education

Bachelor's or Master's degree in CS/Robotics/related field

Tools

OpenCV

Job description

We’re looking for a Senior Computer Vision Engineer to build and deploy production-grade computer vision systems. This is a hands‑on engineering role working across deep learning, image and video processing, and real‑time systems, with close collaboration between software and hardware teams.

ONLY GC and USC no sponsorship. Video interviews only and proof of ID

What You’ll Do

• Design, implement, and optimize computer vision and machine learning algorithms.
• Build robust, scalable systems for processing large image and video datasets.
• Develop computer vision techniques for video processing, image recognition, and related applications.
• Build and optimize production computer vision pipelines.
• Work closely with hardware engineers to integrate computer vision models and systems.
• Improve performance, reliability, and scalability of deployed computer vision applications.

What We’re Looking For

• 3+ years of experience building production-level computer vision systems.
• Strong background in computer vision, deep learning, and machine learning.
• Strong Python and C++ programming skills.
• Hands‑on experience with PyTorch and/or TensorFlow.
• Experience with computer vision libraries such as OpenCV.
• Strong problem‑solving and analytical skills.
• Bachelor’s or Master’s degree in Computer Science, Robotics, or a related technical field.

Preferred

• Ph.D. in Computer Science, Robotics, Computer Vision, or a related field.
• 5+ years of experience building production-grade computer vision systems.
• Experience working with embedded systems, robotics, edge devices, or hardware‑constrained environments.