COMPUTER VISION ENGINEER📣 Job Ad

About the Role

Emboard is seeking a Computer Vision Engineer to join its team in Riyadh, Saudi Arabia. This role focuses on developing real-time computer vision solutions for applications such as face recognition and industrial anomaly monitoring. The position involves contributing to edge systems designed to enhance safety and operational efficiency. The role offers an opportunity to influence the development of advanced systems and foster professional growth in a dynamic field.

As a member of the organization, you will address challenges including optimizing complex models for industrial applications and collaborating with cross-functional teams. The role emphasizes creativity, open communication, and a collaborative work environment, with a commitment to work-life balance and access to advanced tools and technologies.

Key Responsibilities

• Develop and optimize computer vision models for industrial use cases, including Personal Protective Equipment (PPE) compliance, face recognition, and anomaly detection.
• Build and maintain Real-Time Streaming Protocol (RTSP)-based edge inference pipelines for seamless data flow from cameras to edge devices and backend dashboards.
• Integrate computer vision outputs into access control decisions and alert systems to improve operational effectiveness and security.
• Collaborate with Robot Operating System 2 (ROS2) and Internet of Things (IoT) teams to ensure smooth integration of robot perception capabilities.
• Optimize computer vision models for efficient deployment on edge hardware such as Nvidia Jetson/Orin platforms and mini-PCs.

Qualifications and Requirements

• A Bachelor's degree in Computer Engineering, Computer Science, or a closely related field is required.
• 1 to 5 years of experience in computer vision, with a preference for experience in industrial applications.
• Proficiency in developing and optimizing computer vision models, particularly for face recognition and anomaly detection.
• Strong analytical thinking skills for problem-solving and innovation.
• Effective communication skills to articulate complex technical concepts.
• Demonstrated teamwork capabilities and a collaborative mindset.

Technical Skills

• Expertise in developing and optimizing computer vision models, including experience with YOLOv8 (or later versions).
• Proficiency in using OpenCV for image processing and computer vision tasks.
• Experience with relevant model optimization frameworks.
• Strong programming skills in Python.
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Understanding of RTSP pipeline development and camera stream processing.
• Knowledge of edge deployment methodologies and experience deploying models on edge hardware.
• Experience with ROS2 integration and IoT integration is beneficial.
• Familiarity with deploying models on Nvidia Jetson/Orin platforms and mini-PC edge hardware.
• Excellent problem-solving abilities.
• Adaptability and a willingness to learn new technologies and methodologies.

Additional Information

Advanced degrees (Master's or PhD) in a relevant field are considered a plus. Relevant certifications in computer vision or machine learning are preferred but not mandatory. Previous roles involving mentorship or team leadership are considered a bonus. Established connections within the computer vision industry or related fields are advantageous.

This is a full-time position located in Riyadh, Saudi Arabia.