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COMPUTER VISION ENGINEER

Emboard
Riyadh, KSA
fulltime
Entry
4 days ago
computer visiondeep learningCNNimage processingOpenCVPyTorch
Free

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computer visiondeep learningCNN
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Role Overview

Join a dynamic team dedicated to pioneering advancements in computer vision technology.

In this role, you will be at the forefront of developing innovative solutions that enhance real-time vision systems for various applications, including face recognition and industrial anomaly monitoring.

Your contributions will directly impact our capability to deliver cutting-edge systems that function seamlessly at the edge, ensuring safety and operational efficiency across multiple sectors.

As a vital member of our organization, you will face exciting challenges, such as optimizing complex models for industrial applications and collaborating closely with cross-functional teams.

This position offers a unique opportunity to influence the development of state-of-the-art systems while fostering your growth in a rapidly evolving field.

Key Responsibilities

  • Develop and optimize computer vision models tailored for industrial use cases, including PPE compliance, face recognition, and anomaly detection.
  • Build and maintain RTSP-based edge inference pipelines to facilitate seamless data flow from cameras to edge devices and backend dashboards.
  • Integrate computer vision outputs into access control decisions and alert systems to enhance operational effectiveness.
  • Collaborate with the ROS2 and IoT teams to ensure smooth integration of robot perception capabilities.
  • Optimize models for deployment on Nvidia Jetson/Orin and mini-PC edge hardware, ensuring maximum efficiency and performance.

Impact & Growth

This role significantly impacts our business outcomes by enhancing the reliability and functionality of our vision systems, which are crucial for maintaining safety and operational standards.

You will have direct access to cutting-edge technologies and methodologies, allowing you to expand your skill set and expertise.

We are committed to your professional development, providing opportunities for ongoing training and mentorship.

As you grow in this position, you may explore potential career progression paths within our organization, including leadership roles in engineering and project management.

Work Environment

Our team operates in a collaborative and innovative environment, emphasizing creativity and open communication.

You will be part of a diverse group of professionals who share a passion for technology and its potential to transform industries.

We prioritize work-life balance and offer flexible arrangements to accommodate the needs of our team members.

Additionally, you will have access to advanced tools and technologies that empower you to perform at your best while contributing to exciting projects that drive our mission forward.

Essential Requirements

  • Educational background:
  • Bachelor's degree in Computer Engineering, Computer Science, or a related field.
  • Advanced degrees are a plus.
  • Experience:
  • A minimum of 1–5 years in computer vision, preferably in industrial applications.
  • Core technical skills:
  • Proficiency in developing and optimizing computer vision models, particularly for face recognition and anomaly detection.
  • Soft skills:
  • Strong analytical thinking, effective communication, and teamwork capabilities.

Technical Qualifications

  • Software and tools:

Experience

  • with YOLOv8 (or later), OpenCV, and relevant model optimization frameworks.
  • Programming languages:
  • Proficiency in Python; familiarity with PyTorch or TensorFlow.
  • Industry knowledge:
  • Understanding of RTSP pipeline development, edge deployment methodologies, and camera stream processing.
  • Certifications:
  • Relevant certifications in computer vision or machine learning are preferred but not mandatory.

Preferred Qualifications

  • Advanced education:
  • Master’s or PhD in a relevant field.
  • Specialized skills:

Experience

  • with Nvidia Jetson/Orin platforms and IoT integration.
  • Leadership experience:
  • Previous roles involving mentorship or team leadership are a bonus.
  • Domain expertise:
  • Established connections within the computer vision industry or related fields.

Personal Attributes

  • Communication skills:
  • Ability to articulate complex concepts clearly and effectively to diverse stakeholders.
  • Problem-solving:
  • Strong analytical abilities to troubleshoot and innovate in fast-paced environments.
  • Adaptability:
  • Willingness to learn new technologies and methodologies as the field evolves.
  • Cultural fit:
  • Alignment with organizational values and a collaborative team-oriented mindset.

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