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.

Responsibilities:

- 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.

Experience:

- 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.
- 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.

We look forward to meeting you soon and having you join our team to achieve new goals together!

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📌 Manufacturing Engineer – Vision Systems (Mexicali)
🏢 Amphenol Communications Solutions
📍 Mexicali