Amphenol tcs is the leader in high-speed, high-density connection systems, designing and manufacturing the industry's leading high-speed, high-density connectors and backplane systems. amphenol tcs solves system design challenges with integrated interconnect solutions for application in the networking, communications, storage, and computer server markets. Amphenol tcs was founded in 1968 as a division of teradyne, inc. and acquired by amphenol corporation in december of 2005. amphenol corp. is the world?s third largest connector company, producing electronic and fiber optic connectors, cable, and interconnect systems for applications converging technologies of voice, video and data communications, industrial / automotive and military / aerospace. A history of innovation : Amphenol has 70+ year history of innovation and a leadership position in all markets served. atcs engineers in the field and in product development work closely with our customers to understand their technology needs now and in the future.
The Manufacturing Engineer –Vision Systems is responsible for working in collaboration with NPI, Quality, Automation, and Operations teams to lead process ownership for machine vision, automated optical inspection (AOI), and AI-enabled inspection systems used in high-speed cable assemblies and backplane systems — supporting NPI, process transfer, production ramp, and stable mass production.
Own manufacturing readiness and ongoing performance for assigned inspection processes, including camera and lens selection, lighting, optics, image acquisition, fixturing, algorithms, defect libraries, acceptance criteria, equipment integration, validation, and documentation.
Define, develop, validate, release, and maintain inspection recipes, camera positions, field of view, resolution, lighting methods, image-processing parameters, defect classifications, and thresholds for connectors, cable routing, terminals, welds, labels, shielding, and assembly presence.
Lead design-for-inspection reviews focused on feature visibility, contrast, access, orientation, tolerance definition, defect detectability, and fixture repeatability.
Specify, qualify, install, and support cameras, lenses, lighting, vision controllers, motion systems, robotics, fixtures, reject mechanisms, and poka-yoke devices; coordinate suppliers, FAT/SAT, calibration, and preventive maintenance.
Develop DOE and validation plans to confirm detection capability, repeatability, reproducibility, false reject and false accept rates, and process capability.
Provide hands-on engineering support during EVT, DVT, PVT, pilot, ramp, and mass production builds, including system setup, recipe development, image tuning, false-call reduction, and rapid corrective-action closure.
Lead investigation and correction of missed defects, false calls, image instability, lighting variation, fixture misalignment, software faults, and equipment downtime using 8D, 5-Why, Fishbone, DOE, and statistical methods.
Bachelor's degree in Electrical, Electronics, Mechatronics, Automation, Computer, Manufacturing, Mechanical, or Industrial Engineering, or a related technical discipline.
Minimum of 4 years of hands-on manufacturing or process engineering experience with machine vision, AOI, automated inspection, or AI vision systems in electronics, connectors, cable assemblies, semiconductor, automotive, or medical devices.
Proven experience developing, qualifying, transferring, optimizing, and troubleshooting vision or AOI inspection processes from NPI through stable production.
Working knowledge of industrial cameras, optics, lens selection, lighting techniques, image processing, OCR/OCV, pattern matching, dimensional inspection, defect classification, deep learning, anomaly detection, and integration with PLCs, robots, MES, and traceability platforms.
Strong knowledge of PFMEA, control plans, process validation, SPC, attribute MSA, Gauge R&R, DOE, golden-sample control, recipe and model version control, calibration, and engineering change control.
Proven problem-solving capability using 8D, 5-Why, Fishbone, Pareto analysis, DOE, and CAPA.
Experience with Python, OpenCV, Cognex, Keyence, Omron, HALCON, or similar deep-learning vision platforms is preferred.
Advanced knowledge of Microsoft Office Suite; vision programming software, SQL, Power BI, and MES are a plus.
Results-oriented with a focus on inspection accuracy, false-call reduction, and prevention of customer escapes.
Hands-on technical capability, project execution skills, and the ability to support production priorities in a fast-paced environment.
Advanced English and excellent communication skills in Spanish and English.
