Senior Engineer - Machine Vision & Automated Inspection
No salary listed
Expert
Bachelor of Science (BS)
Kulpsville, PA, USA
In PersonTravel up to 5%, domestic and international.
AI & Machine LearningComputer Vision
About the job
Requirements
- A Bachelor of Science degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or a related engineering discipline is required.
- An A3 Certified Vision Professional certification (CVP-Basic or CVP-Advanced), or similar professional certification, is required.
- At least 10 years of experience developing and deploying industrial machine vision systems, preferably in automated inspection applications, is required.
- Strong understanding of machine vision fundamentals is required.
- Ability to select cameras, lenses, lighting, and other optical components based on application requirements is required.
- Ability to read and understand electrical, mechanical, and system-level documentation is required.
- Demonstrated experience with multiple machine vision platforms and technologies is required.
- Experience with Cognex and/or Keyence smart-camera systems and associated software platforms is required.
- Experience with GigE Vision cameras and associated image acquisition software and hardware is required.
- Experience with deep learning for machine vision, including platforms such as Cognex VisionPro Deep Learning, YOLO, or comparable object-detection and classification frameworks, is required.
- Experience with industrial GigE cameras from manufacturers such as Basler, FLIR, Allied Vision, IDS, or similar is required.
- Experience with GenICam/GenTL and camera configuration is required.
- Strong programming or scripting skills and ability to work with vision-system APIs and software development environments are required.
- Experience with image-processing libraries and programming environments such as C# and Python is required.
- Experience with industrial communications protocols such as EtherNet/IP, PROFINET, TCP/IP, OPC UA, or similar is required.
- Experience with robotic vision applications is required.
- Experience with precision measurement and dimensional inspection is required.
- Experience with multi-camera inspection systems is required.
- Experience with statistical analysis, GR&R, process capability, and inspection-system validation is required.
- Experience working within regulated or highly controlled manufacturing environments is required.
- Hands-on comfort working directly with equipment is required.
- Strong troubleshooting and analytical skills are required.
- Ability to learn new technologies and work across multiple vendor platforms is required.
- Attention to detail when developing systems where small changes can significantly affect inspection performance is required.
- Effective communication and interpersonal skills to collaborate with cross-functional teams and stakeholders are required.
- Ability to communicate complex technical concepts clearly to technical and non-technical audiences is required.
- Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment is required.
- Willingness and ability to mentor and provide technical guidance to other engineers and technicians is required.
- Ability to travel domestically and internationally up to 5%, varying depending on demand, is required.
- U.S. Person status as defined by applicable law is required for authorized access to data controlled under ITAR; qualifying status includes U.S. citizens, U.S. nationals, lawful permanent residents, and workers granted refugee or asylum status in the United States.
Responsibilities
- Lead the design, development, integration, and deployment of machine vision systems for manufacturing and production applications.
- Determine the 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 and modern deep-learning-based vision approaches where appropriate.
- Develop inspection algorithms for defect detection, OCR/OCV, presence/absence verification, dimensional and surface inspection, and pattern and feature recognition.
- Develop, train, evaluate, and deploy machine-learning and 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 and false-negative analysis, repeatability, reproducibility, and capability.
- Develop 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.
About the company
Greene Tweed designs and manufactures engineered seals, thermoplastics, and composites for high-stakes industries such as aerospace, semiconductor, and energy. Its products withstand extreme temperatures, pressures, and corrosive chemicals to enable critical applications like commercial flight and sustainable energy. The company stands out through a long history of evolving capabilities, in-house manufacturing, custom material solutions, and cleanroom expertise—applying seal technology to demanding programs (for example GT rings used in the Polaris missile program). Its goal is to be a trusted private partner that delivers reliable, customized components for the world’s most challenging environments.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
N/A
Headquarters
Towamencin Township, Pennsylvania
Founded
1863
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Simplify's Take
What believers are saying
- June 2026 rapid prototyping halves lead times, speeding customer adoption across aerospace and AAM.
- January 2026 COO Thomas J. Castle strengthens manufacturing execution, supply chain discipline, and scaling.
- March 2026 cryogenic and RGD testing supports hydrogen and CCUS demand now building globally.
What critics are saying
- Aerospace concentration deepens through the August 2025 jet-engine agreement and April 2026 Asia-Brazil expansion.
- PFAS regulation threatens fluoropolymer seals, forcing reformulation, recertification, and customer requalification timelines.
- One high-profile seal failure in aerospace or semiconductor would destroy trust and trigger multi-year qualification losses.
What makes Greene Tweed unique
- 1863 heritage and deep materials science built a rare mission-critical credibility.
- Xycomp DLF parts cut aircraft weight while preserving strength for aerospace OEMs.
- In-house cryogenic and supercritical CO2 testing shortens qualification for extreme-environment customers.
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Benefits
- Health Insurance
- Flexible Spending Accounts
- Health Savings Account
- 401k savings plan
- Life and Disability Insurance
- Tuition Assistance