Senior Machine Vision Engineer - Automated Inspection Lead

Greene, Tweed & Co Limited; Towamencin Township (PA); On-site; USD 120,000 - 190,000; Full time

Job summary

Greene, Tweed is seeking a senior machine vision engineer to lead the design, development, integration, and deployment of vision systems for high‑volume manufacturing environments.

You will select cameras, lenses, lighting, and optics; program Cognex and Keyence platforms; develop ML models for challenging inspections; and integrate systems with PLCs, robots, MES, and databases. Travel up to 5% may be required.

Qualifications

• B.S. degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or a related engineering discipline.
• A3 Certified Vision Professional (CVP-Basic or CVP-Advanced), or similar professional certification.
• 10+ years of experience developing and deploying industrial machine vision systems, preferably in automated inspection applications.
• Strong understanding of machine vision fundamentals.
• Ability to select cameras, lenses, lighting, and other optical components based on application requirements.
• Ability to read and understand electrical, mechanical, and system-level documentation.
• Demonstrated experience with multiple machine vision platforms and technologies.
• Experience with Cognex and/or Keyence smart-camera systems and their associated software platforms.
• Experience with GigE Vision cameras and associated image acquisition software/hardware.
• Experience with deep learning for machine vision, including platforms such as Cognex Vision Pro Deep Learning, YOLO, or comparable object-detection/classification frameworks.
• Experience with industrial GigE cameras from manufacturers such as Basler, FLIR, Allied Vision, IDS, or similar.
• Experience with GenICam / GenTL and camera configuration.
• Strong programming or scripting skills and the ability to work with vision-system APIs and software development environments.
• Experience with image-processing libraries and programming environments such as C# & Python.
• Experience with industrial communications protocols such as EtherNet/IP, PROFINET, TCP/IP, OPC UA, or similar.
• Experience with robotic vision applications.
• Experience with precision measurement and dimensional inspection.
• Experience with multi-camera inspection systems.
• Experience with statistical analysis, GR&R, process capability, and inspection-system validation.
• Experience working within regulated or highly controlled manufacturing environments.
• Behavioral: hands‑on and comfortable working directly with equipment.
• Strong troubleshooting and analytical skills.
• Comfortable learning new technologies and working across multiple vendor platforms.
• Detail‑oriented, particularly when developing systems where small changes can significantly affect inspection performance.
• Effective communication and interpersonal skills to collaborate with cross‑functional teams and stakeholders.
• Able to communicate complex technical concepts clearly to both technical and non‑technical audiences.
• Ability to manage multiple projects simultaneously and meet deadlines in a fast‑paced environment.
• Willingness and ability to mentor and provide technical guidance to other engineers and technicians.
• Ability to travel (domestic & international) up to 5%, varying depending on demand.
• Required Minimum Qualifications: This position requires U.S. Person status as defined by applicable law for authorized access to data controlled under ITAR.

Responsibilities

• Lead the design, development, integration, and deployment of machine vision systems for manufacturing and production applications.
• Determine appropriate camera, lens, lighting, optics, image acquisition, processing, and system architecture for each application.
• Program and configure smart camera systems, including Cognex, Keyence and other industrial smart-camera platforms.
• Design and implement systems using GigE Vision cameras.
• Evaluate and apply traditional rules-based machine vision techniques as well as modern deep-learning-based vision approaches where appropriate.
• Develop inspection algorithms for applications including Defect detection, OCR/OCV, presence/absence verification, dimensional & surface inspection, pattern and feature recognition.
• Develop, train, evaluate, and deploy machine-learning/deep-learning models for challenging inspection applications when conventional vision techniques are insufficient.
• Integrate vision systems with PLCs, robots, motion systems, databases, MES systems, and other factory automation equipment.
• Perform system debugging, image analysis, root-cause analysis, and optimization of existing inspection systems.
• Establish and validate inspection performance, including false-positive/false-negative analysis, repeatability, reproducibility, and capability.
• Develop documentation including system specifications, software documentation, inspection standards, validation procedures, and operator instructions.
• Support equipment commissioning, production launch, and troubleshooting at manufacturing facilities.
• Serve as a technical resource for machine vision technology, application development, and inspection-system design.

Job description

Greene, Tweed is seeking a senior machine vision engineer to lead the design, development, integration, and deployment of vision systems for high‑volume manufacturing environments.

You will select cameras, lenses, lighting, and optics; program Cognex and Keyence platforms; develop ML models for challenging inspections; and integrate systems with PLCs, robots, MES, and databases. Travel up to 5% may be required.