Computer Vision Engineer

Computer Vision Engineer

Position Overview

Our client is seeking a Computer Vision Engineer to develop and deploy vision-based systems for complex automated equipment. This role will focus on building reliable perception capabilities and integrating them into real-time systems operating in dynamic environments.

Key Responsibilities

• Develop computer vision and image-processing algorithms for detection, classification, segmentation, tracking, and measurement.

• Process and analyze data from cameras and other sensing technologies.

• Develop solutions that perform reliably under changing environmental and operating conditions.

• Integrate imaging hardware and vision software with larger automated systems.

• Develop and evaluate machine learning and deep learning models for visual perception applications.

• Prepare, organize, and analyze datasets used for model development and validation.

• Optimize algorithms for real-time and resource-constrained deployment.

• Test, validate, and troubleshoot vision systems in laboratory and real-world environments.

• Establish performance metrics and validation procedures.

• Collaborate with software, electrical, mechanical, controls, and systems engineers on integrated solutions.

• Maintain technical documentation covering development, testing, and system configuration.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related technical field; advanced degree preferred.

• 5+ years of experience developing computer vision, machine learning, or related systems.

• Strong knowledge of image processing and visual perception techniques.

• Experience developing and deploying machine learning or deep learning models.

• Strong programming skills in Python, C++, or both.

• Experience with common computer vision and machine learning frameworks.

• Experience working in Linux-based development environments and version-control systems.

• Familiarity with cameras, imaging systems, calibration, or related sensing technologies.

• Experience deploying algorithms in real-time, embedded, or edge-computing environments preferred.

• Experience applying computer vision to automated equipment, robotics, or other physical systems preferred.

• Strong analytical, troubleshooting, and cross-functional collaboration skills.