Computer Vision Engineer (Industrial Automation)

Location: United States

Company

hirify.global develops technology solutions for industrial automation and manufacturing quality control.

What you will do

• Design and deploy real-time object detection and image classification systems for identifying micro-defects on fast-moving production lines.
• Integrate and calibrate high-speed industrial cameras, specialized lighting, optical systems, frame grabbers, and industrial PCs.
• Build low-latency communication pipelines between computer vision systems and PLCs to trigger sorting and rejection mechanisms.
• Optimize deep learning models for edge deployment and strict production cycle-time requirements using hardware acceleration.
• Develop automated data collection, dataset versioning, synthetic data, and image-labeling pipelines.
• Troubleshoot manufacturing-floor issues involving camera triggering, lighting fluctuations, system performance, and model drift.

Requirements

• C++ and Python for optimized real-time applications, model prototyping, training, testing, and data processing.
• Practical experience with computer vision, OpenCV, PyTorch, TensorFlow, and fast-inference architectures such as YOLO.
• Hands-on experience with GigE Vision, CoaXPress, Camera Link, industrial optics, and frame grabbers.
• Experience with OPC UA, Modbus TCP/IP, Ethernet/IP, or PROFINET communication between Windows/Linux edge computers and PLCs.
• Experience deploying models on NVIDIA Jetson or x86 industrial PCs with TensorRT or OpenVINO.
• Working knowledge of IEC 61131-3 Structured Text or Ladder Logic and experience with concurrent processing, memory management, and continuous 24/7 systems.

Culture & Benefits

• Work focuses on connecting machine learning systems with physical manufacturing hardware.
• The role supports continuous, high-throughput quality control on the production floor.
• No specific benefits or additional workplace policies are stated.