Computer Vision Engineer

About the role

Join a dynamic team focused on advancing computer vision technology for real‑time edge applications. You will develop innovative solutions that improve safety and efficiency across sectors such as face recognition, PPE compliance, and industrial anomaly monitoring.

Key responsibilities

• Design, develop, and optimize computer vision models for industrial use cases including face recognition, PPE compliance, and anomaly detection.
• Build and maintain RTSP‑based edge inference pipelines that stream video from cameras to edge devices and backend dashboards.
• Integrate vision outputs into access‑control decisions and alert systems.
• Collaborate with ROS2 and IoT teams to embed perception capabilities into robotic platforms.
• Optimize models for deployment on Nvidia Jetson/Orin and other mini‑PC edge hardware.

Required profile

• Bachelor’s degree in Computer Engineering, Computer Science, or a related field (advanced degree a plus).
• 1–5 years of experience in computer vision, preferably in industrial environments.
• Proven ability to develop and fine‑tune vision models for edge deployment.

Required skills

• Computer Vision model development and optimization
• RTSP streaming and edge inference pipelines
• Nvidia Jetson/Orin deployment
• ROS2 integration
• IoT connectivity

What we offer

• Access to cutting‑edge technologies and tools
• Opportunities for professional training and mentorship
• Flexible work arrangements supporting work‑life balance
• Potential career progression into engineering leadership or project management