COMPUTER VISION ENGINEER
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Key skills for this role
About the Role
Emboard is looking for a Computer Vision Engineer to develop and optimize models for industrial use cases like PPE compliance, face recognition, and anomaly detection. You will build RTSP-based edge inference pipelines and deploy models on Nvidia Jetson/Orin hardware.
Key Skills for This Role
Responsibilities
- Develop and optimize computer vision models for industrial use cases including PPE compliance, face recognition, and anomaly detection
- Build and maintain RTSP based edge inference pipelines for data flow from cameras to edge devices and backend dashboards
- Integrate computer vision outputs into access control decisions and alert systems
- Collaborate with ROS2 and IoT teams for integration of robot perception capabilities
- Optimize models for deployment on Nvidia Jetson/Orin and mini PC edge hardware
Requirements
- Bachelor's degree in Computer Engineering, Computer Science, or related field
- 1 5 years of experience in computer vision, preferably in industrial applications
- Proficiency in developing and optimizing computer vision models for face recognition and anomaly detection
- Experience with YOLOv8 (or later), OpenCV, and model optimization frameworks
- Proficiency in Python; familiarity with PyTorch or TensorFlow
- Understanding of RTSP pipeline development, edge deployment, and camera stream processing
Full Job Posting
Role Overview
- Join a dynamic team pioneering advancements in computer vision technology for real time vision systems including face recognition and industrial anomaly monitoring.
- Your contributions will impact cutting edge systems that function at the edge, ensuring safety and operational efficiency across multiple sectors.
Key Responsibilities
- Develop and optimize computer vision models for industrial use cases: PPE compliance, face recognition, anomaly detection.
- Build and maintain 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.
- Collaborate with ROS2 and IoT teams for robot perception integration.
- Optimize models for deployment on Nvidia Jetson/Orin and mini PC edge hardware.
Essential Requirements
- Bachelor's degree in Computer Engineering, Computer Science, or related field.
- Minimum of 1 5 years in computer vision, preferably in industrial applications.
- Proficiency in developing and optimizing computer vision models for face recognition and anomaly detection.
- Strong analytical thinking, effective communication, and teamwork capabilities.
Technical Qualifications
- Experience with YOLOv8 (or later), OpenCV, and relevant model optimization frameworks.
- Proficiency in Python; familiarity with PyTorch or TensorFlow.
- Understanding of RTSP pipeline development, edge deployment methodologies, and camera stream processing.
Preferred Qualifications
- Master's or PhD in a relevant field.
- Experience with Nvidia Jetson/Orin platforms and IoT integration.
- Previous roles involving mentorship or team leadership.
- Established connections within the computer vision industry.
Impact & Growth
- Direct impact on business outcomes by enhancing reliability and functionality of vision systems.
- Access to cutting edge technologies and methodologies for skill expansion.
- Opportunities for ongoing training, mentorship, and career progression to leadership roles.
Work Environment
- Collaborative and innovative environment emphasizing creativity and open communication.
- Diverse group of professionals passionate about technology.
- Work life balance with flexible arrangements.
- Access to advanced tools and technologies.
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