Computer Vision Engineer

• 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.