Trueline
Vision System R&D Engineer
Trueline’s client, a leading automation engineering organization, is seeking a Vision System R&D Engineer to join their team in Biddeford. This role focuses 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.
What You’ll Do as the Vision System R&D Engineer:
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.
Must Haves as the Vision System R&D Engineer:
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 3+ years 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.
Nice to Haves as the Vision System R&D Engineer:
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.
Our Client Offers:
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.
Trueline and its clients are unabashed equal opportunity employers committed to a diverse workforce. We welcome smart and ambitious applicants and recruit, refer, hire, place, and promote without regard to race, color, gender, religion, national origin, ancestry, citizenship, disability, age, sexual orientation, or any other characteristic protected by federal or state law.
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What You’ll Do as the Vision System R&D Engineer:
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.
Must Haves as the Vision System R&D Engineer:
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 3+ years 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.
Nice to Haves as the Vision System R&D Engineer:
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.
Our Client Offers:
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.
Trueline and its clients are unabashed equal opportunity employers committed to a diverse workforce. We welcome smart and ambitious applicants and recruit, refer, hire, place, and promote without regard to race, color, gender, religion, national origin, ancestry, citizenship, disability, age, sexual orientation, or any other characteristic protected by federal or state law.
#J-18808-Ljbffr