Senior Computer Vision Developer (Dev III)

Description

Job Summary: As a Senior Computer Vision Developer, you will lead the development, architecture, integration, and validation of advanced computer vision and AI solutions for industrial systems—from optical design through implementation and support. Key Highlights: 1. Leadership in computer vision and industrial AI development 2. End-to-end involvement from optical design to algorithm integration 3. Customer interface and technical leadership in projects **Position Objective:** The Senior Computer Vision Developer will be responsible for leading the development, architectural definition, integration, and validation of advanced computer vision and artificial intelligence solutions applied to industrial inspection, monitoring, and automation systems. Responsibilities span from optical and hardware design through algorithm implementation, automation integration, and laboratory and plant-based testing. This role also includes technical installations, formal documentation, customer support, and serving as a technical reference for Junior and Mid-level developers. **Responsibilities** **1\. Computer Vision Development and Architecture** * Develop, validate, and optimize computer vision algorithms (OpenCV, classical methods, and deep learning). * Design and define full optical architecture: industrial cameras, lenses, filters, illumination, industrial PCs, mechanical mounts, and auxiliary devices. * Evaluate various methodologies for detection, classification, tracking, OCR/OCV, and defect inspection. * Plan, collect, and structure industrial datasets—including labeling and data versioning. **2\. Integration with Automation, IoT, and Industrial Systems** * Integrate vision systems with PLCs, industrial sensors, drivers, automation devices, and industrial protocols (Modbus TCP, OPC\-UA, MQTT, WebSocket, REST). * Synchronize machine operational data with visual results for predictive applications. * Work with hybrid architectures (local processing \+ cloud inference), ensuring performance, latency, and stability. **3\. Testing, Validation, and Laboratory Work** * Lead laboratory testing at INDT and partner facilities to validate cameras, lenses, mounts, illumination, PCs, and algorithms. * Conduct field tests in industrial environments—including thermal, visual, and operationally correlated inspections. * Prepare experimental setups: optical calibration, mechanical alignment, instrumentation, and evidence recording. * Validate predictive models and integrated systems. **4\. Physical Installation and Commissioning** * Perform complete technical installations: mounting cameras, structures, illumination, cables, networks, industrial PCs, and auxiliary sensors. Execute technical commissioning—configuring, calibrating, and certifying the solution at the customer site. Support initial operations, perform fine-tuning, and ensure system stability in real factory environments. **5\. Technical Documentation and Reporting** * Prepare BOM (Bill of Materials), diagrams, drawings, calibration records, and architectural documentation. Develop monthly technical reports, test certificates, photographic evidence, and documentation required by PPI/CAPDA/SUFRAMA programs. Develop validation reports and comparative analyses of hardware, algorithms, and optical configurations. **6\. Customer Interface and Technical Leadership** * Conduct technical meetings with customers, interpret functional requirements, and propose solutions. * Support preparation of technical proposals and effort estimates for new projects. Requirements: **Education** Bachelor’s degree in Automation Engineering, Electrical Engineering, Mechatronics Engineering, Computer Engineering, Computer Science, or related fields. **Recommended Technical Knowledge** **1\. Computer Vision and AI** * Proficiency in Python Experience with OpenCV Experience with AI frameworks: PyTorch, TensorFlow, ONNX. Knowledge of models such as YOLO, Faster/Mask R\-CNN, SSD, OCR/OCV. **2\. Optics and Hardware** * Selection and configuration of industrial cameras (e.g., Basler). * Knowledge of lenses (C/CS/M12\), FOV, DOF, exposure, gain, distortion, and SNR. * Knowledge of industrial lighting: backlight, bar light, coaxial, ring light, diffusers, and filters. * Familiarity with thermal cameras and thermal analysis. * Familiarity with industrial PCs, Jetson, Raspberry Pi, and embedded devices. **3\. Industrial Integration** * Industrial protocols (Modbus, MQTT, OPC\-UA, WebSocket). * Cloud concepts (AWS, storage and AI services). * Integration with PLCs, drivers, sensors, and SCADA systems.