Computer Vision Engineer
This role focuses on designing and deploying computer vision solutions for automated inspection and defect detection in Continental's manufacturing plants. The engineer will integrate vision systems with industrial cameras, lighting, and edge platforms, while leading validation, production rollout, and continuous model improvement.
Skills required
About this role
• Design, develop, deploy, and maintain computer vision solutions for automated inspection, defect detection, quality assurance, process monitoring, and manufacturing intelligence.
• Integrate vision applications with industrial cameras, lighting, controls, manufacturing execution environments, databases, and edge-computing platforms.
• Lead or support validation, commissioning, production rollout, user enablement, and operational support for plant-wide vision use cases.
• Monitor production performance and improve model robustness under changing products, equipment conditions, lighting, and process variation.
• Diagnose image-acquisition, camera-calibration, equipment-drift, and model-performance issues and drive sustainable corrective actions.
• Identify and prioritize new industrial vision opportunities, translating manufacturing pain points into deployable use cases with measurable operational impact.
• Evaluate emerging technologies such as deep-learning vision, multimodal AI, foundation vision models, and industrial vision platforms.
• Apply appropriate data, cybersecurity, model-risk, and responsible-AI controls throughout the solution lifecycle.
Qualifications
Computer vision and image processing, including model development, validation, performance measurement, and deployment.
• Python and relevant AI / vision frameworks; practical software deployment skills. Additional industrial programming capability is advantageous. Confidential | Prepared for compensation benchmarking purposes only
• Industrial cameras, optics, lighting, calibration, sensors, and edge-computing concepts.
• Industrial integration concepts, including PLC / controls, manufacturing systems, databases, APIs, and common connectivity protocols.
• Data analysis and visualization; structured problem solving using quality and root-cause methods.
• Project management, stakeholder communication, documentation, and change adoption in an operations environment.
Additional Information
Ready to drive with Continental? Take the first step and fill in the online application.
Similar open roles
Senior Engineer, IAM with designing and architecturing AI/ML systems
