Vision System R&D Engineer, Industrial Automation Systems

Trueline-posted 13 days ago
Full-time • Mid Level
Biddeford, ME
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Trueline’s client is seeking a Vision System R&D Engineer to join their team in Biddeford. This role will focus on developing next generation automated inspection systems from concept through integration leveraging software, machine learning, and hardware in a fast moving manufacturing R&D environment. It’s an excellent opportunity to bridge advanced vision/ML work with real industrial impact.

  • Lead the design and development of custom automated vision systems: hardware selection, image acquisition, processing, and user interface.
  • Select, train, validate and deploy machine/deep learning models for inspection tasks: defect detection, measurement, classification.
  • Collaborate with engineering, technicians, and customers to integrate these vision systems into production and legacy automation.
  • Contribute to the broader automation agenda by designing and programming machine control logic (PLCs, HMIs, robots) tied to vision or non vision systems.
  • Produce and maintain clear technical documentation for prototypes, software architecture and vision system manuals.
  • Manage R&D project timelines and deliverables, ensuring performance targets are met or exceeded.
  • Configure and troubleshoot machine networking systems (Ethernet based industrial networks) in support of integration.
  • Bachelor of Science in Computer Science, Engineering or related field (or equivalent experience).
  • Strong software development skills: Python, C++ and/or C#.
  • Demonstrated experience diagnosing/troubleshooting complex electro mechanical systems.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and open source computer vision libraries.
  • A minimum of 1+ year of professional experience deploying or supporting deep learning models (preferred).
  • Strong analytical and problem solving skills, with the ability to thrive when dealing with undefined challenges.
  • Excellent communication and teamwork abilities; comfortable working in a fast paced, collaborative environment.
  • Willingness to travel for system deployment and customer support.
  • Experience deploying applications to edge devices (embedded vision/ML).
  • Direct experience with industrial automation systems, robotics, PLCs or HMI design.
  • Hands on familiarity with industrial networking protocols (e.g., EtherNet/IP, OPC UA).
  • Prior involvement in manufacturing R&D or production automation environments.
  • A role at the frontier of industrial vision + machine learning application—real impact in manufacturing.
  • Collaborative, engineering driven culture with opportunity for innovation and autonomy.
  • A competitive salary and benefits package (please insert specifics if available: bonus, equity, travel, training).
  • Exposure across software, hardware, controls, and production systems—broadening your skill set and career growth.
  • Opportunity for travel and customer facing work, enabling a blend of development and deployment.
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