Computer Vision Engineer

Posted Yesterday
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Hefei Shi, Hefei, Anhui, CHN
In-Office
Entry level
Automotive • Manufacturing
The Role
Design, deploy, and maintain computer vision solutions for automated inspection, defect detection, quality assurance, process monitoring, and manufacturing intelligence. Integrate vision systems with industrial cameras, controls, manufacturing systems, databases, and edge platforms. Support validation, commissioning, production rollout, and operational support while diagnosing image-acquisition and model-performance issues. Identify new industrial vision opportunities, evaluate emerging AI technologies, and apply data, cybersecurity, model-risk, and responsible-AI controls.
Summary Generated by Built In
Company Description

Continental is a leading tire manufacturer and industry specialist. Founded in 1871, the company generated sales of €39.7 billion in 2024 and currently employs around 95,000 people in 54 countries and markets.

Tire solutions from the Tires group sector make mobility safer, smarter, and more sustainable. Its premium portfolio encompasses car, truck, bus, two-wheel, and specialty tires as well as smart solutions and services for fleets and tire retailers. Continental has been delivering top performance for more than 150 years and is one of the world’s largest tire manufacturers. In fiscal 2024, the Tires group sector generated sales of 13.9 billion euros. Continental's tire division employs more than 57,000 people worldwide and has 20 production and 16 development sites.  

 

Job Description

• 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.

Skills Required

  • Computer vision and image processing experience, including model development, validation, performance measurement, and deployment
  • Python and relevant AI or vision frameworks
  • Practical software deployment skills
  • Industrial cameras, optics, lighting, calibration, sensors, and edge-computing concepts
  • Industrial integration concepts, including PLC or controls, manufacturing systems, databases, APIs, and connectivity protocols
  • Data analysis and visualization skills
  • Structured problem-solving skills using quality and root-cause methods
  • Project management, stakeholder communication, documentation, and change-adoption skills in an operations environment
  • Additional industrial programming capability

Continental Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Continental and has not been reviewed or approved by Continental.

  • Healthcare Strength — Health plans are often described as comprehensive, with medical, dental, vision, and related programs (such as HSA/FSA) highlighted as strong components. Feedback suggests the quality of healthcare coverage is a meaningful part of overall compensation satisfaction.
  • Retirement Support — Retirement offerings, including 401(k) plans with company contributions, are viewed favorably and frequently mentioned alongside competitive base pay. These plans are seen as a reliable pillar of the total rewards package.
  • Leave & Time Off Breadth — Paid holidays, vacation/PTO, and other leave programs are presented as part of a broad benefits suite. The scope of time-off options contributes positively to perceived overall value.

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The Company
HQ: Hannover
66,749 Employees
Year Founded: 1871

What We Do

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2020, Continental generated sales of €37.7 billion and currently employs around 235,000 people in 58 countries and markets. In 2021, the company celebrates its 150th anniversary.

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