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Computer Vision Engineer

Continental

Continental is the employer — EngRadar is a job radar, not a recruiter. We track this posting from their own careers page and send you straight there; we never handle applications or CVs.

He Fei Shi, An Hui Sheng, China Full-time Posted 1mo ago

• 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.

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.

Ready to drive with Continental? Take the first step and fill in the online application.

Posted by Continental on their own careers page — you apply directly, no recruiter in between. View original / apply →

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