Robotics Vision Engineer

Key Responsibilities

• Design, develop, test, and validate industrial machine vision systems.
• Select and configure industrial cameras, lenses, and lighting based on inspection requirements.
• Develop Python applications for camera control, image acquisition, and image processing.
• Build vision-processing pipelines using Python, OpenCV, and NumPy.
• Integrate industrial cameras and fixed barcode/QR readers with edge-computing devices.
• Work with sensors, PLCs, digital I/O, and camera triggering mechanisms.
• Implement QR code, barcode, and DataMatrix recognition solutions.
• Handle image-processing challenges such as reflections, motion blur, varying lighting, and changing object positions.
• Integrate vision systems using TCP/IP and other industrial communication protocols.
• Develop tools for vision-system setup, testing, commissioning, and validation.
• Support onsite commissioning and troubleshooting of production-line vision systems.
• Work with backend/cloud teams to integrate validated vision data with wider platforms.

Required Skills

• 3–7+ years of relevant experience in Machine Vision, Computer Vision, Automation, Robotics, or Industrial Image Processing.
• Strong Python programming skills.
• Hands-on experience with OpenCV and NumPy.
• Good understanding of industrial cameras, lenses, optics, lighting, and image acquisition.
• Experience with QR code, barcode, and DataMatrix recognition.
• Experience with image processing techniques such as image segmentation, thresholding, contour detection, and geometric analysis.
• Experience with TCP/IP, REST APIs, JSON, and camera SDKs/APIs.
• Knowledge of industrial camera technologies such as GigE Vision, USB3 Vision, or GenICam.
• Experience with industrial integration such as PLC, digital I/O, sensors, or hardware triggering.
• Good understanding of image quality, camera calibration, and vision-system validation.

Preferred Experience

Experience with one or more of the following will be an advantage:

• Basler, IDS, Cognex, Keyence, Datalogic, Allied Vision, or Teledyne/FLIR cameras/systems.
• NVIDIA Jetson or other Linux-based edge-computing platforms.
• Industrial automation, conveyor systems, production lines, or logistics automation.
• Multi-camera systems and camera synchronization.
• Modbus TCP, OPC UA, or EtherNet/IP.
• YOLO, PyTorch, TensorFlow, or other ML-based vision frameworks.

Pay: ₹50,000.00 - ₹150,000.00 per month

Work Location: In person