Job Summary
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We are seeking a highly skilled Vision Engineer to join our dynamic team in the rapidly growing field of electric vehicle (EV) battery manufacturing. The successful candidate will be instrumental in developing and implementing cutting-edge computer vision solutions to enhance the efficiency, quality, and safety of our electric vehicle battery production processes.
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Responsibilities
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Vision Algorithm Comprehension:
- Implement and maintain computer vision algorithms for quality control, defect detection, and process optimization in electric vehicle battery manufacturing.
- Comprehend algorithms for the inspection of critical components, such as battery cells, modules, and packs.
Integration with Manufacturing Systems:
- Collaborate with manufacturing and automation teams to seamlessly integrate vision solutions into the electric vehicle battery production line.
- Ensure compatibility with existing manufacturing control systems and Industry standards.
Defect Detection and Classification:
- Manage vision systems for the identification and classification of defects in battery components throughout the manufacturing process.
- Monitor real-time defect detection to avoid manufacturing defects and enhance overall product quality.
Process Optimization:
- Utilize computer vision to optimize manufacturing processes, including material handling, assembly, and quality assurance.
- Contribute to continuous improvement initiatives aimed at enhancing production efficiency and reducing waste.
Data Analysis and Reporting:
- Analyze data collected by vision systems to provide actionable insights into manufacturing performance.
- Generate regular reports and recommendations for process optimization and quality enhancement.
Collaboration:
- Collaborate with cross-functional teams, including manufacturing, maintenance, process technology, and quality.
- Work closely with suppliers to maintain and improve vision systems.
Validation and Testing:
- Develop and execute comprehensive testing procedures to validate the accuracy and reliability of vision systems in a manufacturing environment.
- Ensure that vision systems comply with industry standards and regulatory requirements.
Qualifications
Basic:
- Minimum Age: 18 years old
- A technical degree in an engineering/technology discipline or demonstrated experience in vision systems equipment.
- Must be eligible to work in the United States.
- While travel is unlikely, the ideal candidate will be able to travel, with reasonable prior notice as required (domestic and/or international).
- Ability to work overtime, weekends, or holidays as required.
- Strong troubleshooting skills.
- Basic understanding of industrial vision systems.
Preferred:
- B.S. degree in an engineering/technology discipline.
- 5+ years of experience in a manufacturing environment, preferably in automotive or technology.
- Exposure to production control, supply chain, or material handling systems and procedures.
- Demonstrated technical problem-solving ownership and proficiency.
- Cross-functional and/or team leadership experience preferred.
- Knowledge of structured problem-solving methods.
- Proficiency in programming languages such as MFC, C++, or others.
- Strong knowledge of computer vision libraries and frameworks (e.g., OpenCV).
- Familiarity with image processing techniques and machine learning for vision applications.
- Functional understanding of vision systems (such as Keyence or Cognex) and/or X-ray system for inspection.
- Excellent communication skills to effectively convey technical concepts to both technical and non-technical stakeholders.
- Complete proficiency in the Microsoft office tool suite.
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Working Conditions:
- Ability to sit, walk, and stand for extended periods of time.
- Ability to work around the potential exposure to dust and chemicals.
- Ability to wear appropriate PPE as deemed essential for the job function.
- Ability to lift up to 30 pounds.
- To safely perform the essential functions of the position.
- Ability to distinguish colors within the Vision Systems.
Working Conditions & Physical Requirements:
- Must be able to travel as requested (Domestic and International).
- Must be eligible to work in the United States.
- Must be available to work occasional overtime on weekends or holidays.
- Ability to sit, stand, or walk for long periods.
- Ability to gown and wear appropriate PPE in dry room conditions on the manufacturing floor.