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Edge AI/Computer Vision Engineer

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Edge AI/Computer Vision Engineer in USA

  • Chicago, IL

Responsibilities

  • Install, configure, and calibrate smart cameras for human detection in restricted manufacturing areas.
  • Train, optimize, and deploy object-detection models on AXIS ACAP edge hardware.
  • Build and maintain containerized software on Linux using Git-based workflows and automated build, test, and deployment processes.
  • Collaborate with controls engineers to translate detection events into machine signals and validate end-to-end behavior.
  • Monitor field model performance, collect edge cases, and iterate on datasets and models.
  • Travel regularly to client manufacturing sites.

Requirements

  • Bachelor's degree completed or in progress in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Strong programming fundamentals, Python proficiency, and working knowledge of C/C++.
  • Solid Linux experience, including command-line tools, services, logs, and networking basics.
  • Hands-on Docker experience with images, Compose, volumes, and container troubleshooting.
  • Familiarity and experience with Git-based CI/CD and GitOps practices.
  • Coursework or project experience in computer vision or deep learning.
  • Preferred experience with PyTorch, TensorFlow, OpenCV, YOLO, SSD, TFLite, ONNX, quantization, and edge hardware such as AXIS ACAP, NVIDIA Jetson, Coral, or Raspberry Pi.
  • Preferred understanding of industrial controls including PLCs, digital I/O, Modbus, OPC-UA, machine safety, IP cameras, RTSP video streaming, or network configuration.
  • Prior internship, research, or hands-on hardware or IoT project experience is preferred.
  • Strong communication skills and comfort working directly with client engineering teams.

Benefits

  • Full-time position with benefits.
  • Regular travel to client manufacturing sites is required.
  • Base compensation is provided as a range of $100,000-$120,000, excluding this benefits summary.

Salary: $100k - $120k/yr

Reply

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