Vision System Engineer

Overview

Vision System Engineer

Location:

Lincolnton, NC (On-site). Field of work:
Manufacturing. Working time:
Full-time. Legal entity:
Robert Bosch Tool Corporation. Job posted: . Z.

• AOI & AI Solution Implementation – Implements and configures Automated Optical Inspection (AOI) systems in shopfloor environments; tunes vision parameters and AI-based classification models to achieve robust OK/NOK decisions under high process variability; ensures stable and repeatable inspection performance in production conditions.
• AI-Based Inspection & Model Tuning – Trains, validates, and optimizes AI vision models to replace manual inspection tasks and reduce direct headcount; performs data preparation, model tuning, and performance validation in alignment with defined acceptance criteria; develops custom AI algorithms from scratch only in exceptional, approved cases with clear business impact.
• Proof of Concept (POC) Development – Leads technical POCs for AOI and AI-based inspection solutions within TEF2 scope; evaluates technical feasibility, robustness, and scalability of vision solutions prior to project industrialization; provides technical recommendations to support go/no-go decisions for AOI projects.
• Industrialization Support & Project Interface – Supports the industrialization of AOI solutions once released into the TEF1 project portfolio; works closely with TEF1 Project Leaders to ensure technical readiness and smooth deployment; provides technical input for commissioning, validation, and handover to production.
• Supplier Technical Coordination – Acts as the main technical interface with AOI and AI solution providers, system integrators, and central teams; supports supplier evaluations, testing, and solution optimization without assuming commercial or contractual responsibilities; ensures delivered solutions meet technical and performance expectations.
• Performance Tracking & Continuous Improvement – Tracks KPIs related to direct headcount reduction, scrap reduction, and inspection effectiveness; identifies improvement opportunities to enhance inspection accuracy and reduce false rejects or escapes; drives continuous optimization of deployed AOI and AI solutions.
• Standardization & Documentation – Applies standard AOI and AI solutions aligned with central and TEF2 guidelines; documents configurations, models, and lessons learned to enable reuse and maintainability; ensures technical documentation supports long-term sustainability of solutions.

Required

• Bachelor’s Degree in Electrical Engineering, Mechatronics Engineering, Automation Engineering, Computer Engineering, or related field.

Preferred

• Post-Graduate Degree in Artificial Intelligence, Computer Vision, Robotics, Data Engineering;
  Special License/Certification in Machine Vision (Cognex, Keyence, Omron, etc.), AI / Vision training or certification (desirable).

• AOI systems configuration and deployment in manufacturing environments – Senior
• Machine vision technologies (cameras, lighting, optics, image acquisition principles) – Senior
• AI-based vision inspection (classification, pattern recognition, OK/NOK decision logic) – Advanced
• Model training, tuning, validation, and performance optimization for vision-based AI applications – Advanced
• Data preparation and labeling for AI vision use cases – Advanced
• Understanding of manufacturing processes and inspection points in shopfloor environments – Intermediate
• POC execution and technical feasibility assessment – Advanced
• Coordination with AOI / AI vendors and system integrators – Advanced
• Industrialization, commissioning of vision systems in production – Advanced
• Root cause analysis related to inspection failures – Advanced
• Documentation of configurations, models, and lessons learned – Intermediate
• Communication of technical solutions to non-technical stakeholders – Intermediate

All information will be kept confidential according to EEO guidelines.