
Computer Vision Engineer
Continental · He Fei Shi, An Hui Sheng, China
- Automotive & Mobility
- 10,001+ employees
- Hannover, Lower Saxony
Strong hiring record · median 35 days open
All reasons
In its favour
- Still listed on the employer's own board
- 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.
Skills
- Computer Vision
- Python
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