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Work Mode: Hybrid
Location: Hybrid at Champaign, IL
Must be currently enrolled at University of Illinois-Urbana Champaign
Opportunity
The Automated Inspection Systems Engineer will work on the development and implementation of automated inspection systems across Kohler's manufacturing processes. This individual will address the challenges posed by manual inspection processes, inconsistent results, and the need for improved defect tracking and classification. The engineer will collaborate with cross-functional teams to ensure that the inspection systems meet Kohler's high-quality standards and enhance the efficiency of the inspection process.
Specific Responsibilities
The Automated Inspection Systems Engineer will deliver a flexible AI vision inspection model capable of combining inputs from various sensor types to process and classify all defects within Kohler’s manufacturing process requirements for quality, cycle time, and accuracy.
Why Choose Kohler?
We empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we’re driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives.
About Us
It is Kohler’s policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact kohlerjobs@kohler.com. Kohler Co. is an equal opportunity/affirmative action employer.
Location: Hybrid at Champaign, IL
Must be currently enrolled at University of Illinois-Urbana Champaign
Opportunity
The Automated Inspection Systems Engineer will work on the development and implementation of automated inspection systems across Kohler's manufacturing processes. This individual will address the challenges posed by manual inspection processes, inconsistent results, and the need for improved defect tracking and classification. The engineer will collaborate with cross-functional teams to ensure that the inspection systems meet Kohler's high-quality standards and enhance the efficiency of the inspection process.
Specific Responsibilities
- Develop Automated Inspection Systems: Design, development, and deployment of automated inspection systems that leverage machine learning algorithms to enhance speed, accuracy, and consistency compared to manual inspections.
- Consolidate Defect Library: Create a consolidated defect library across Kohler's Kitchen & Bath (K&B) processes to standardize defect classification and improve data tracking.
- Improve Consistency and Efficiency: Implement systems to improve the consistency of inspection processes and reallocate inspection personnel to value-added activities.
- Sensor Integration and Optimization: Work on developing a flexible AI vision inspection model capable of combining inputs from various sensor types and devices to process and classify all defects within Kohler’s manufacturing process requirements.
- SOP Development: Develop standard operating procedures (SOPs) for adding and teaching new products into the automated inspection systems.
- Validation and Testing: Validate and test the automated inspection systems to ensure they meet or exceed required cycle times and can detect all defects for a given product category.
- Experience in developing automated inspection systems and integrating machine learning algorithms.
- Proficiency in sensor integration and optimization.
- Strong project management skills with the ability to meet tight deadlines.
- Knowledge of industrial manufacturing processes and quality assurance standards.
- Familiarity with AI/ML technologies and their application in industrial settings.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Machine learning algorithms
- Sensor integration
- AI vision inspection models
- Python, C , MATLAB, OpenCV
- Industrial automation tools
- Vision and/or audio systems, AI & Infrared cameras,
- Current enrollment Mechanical Engineering, Electrical Engineering, Computer Science, or related field. Master’s degree preferred.
- Experience in developing automated inspection systems in an industrial manufacturing environment.
- Proficiency in Python, C , or MATLAB, OpenCV
- Strong understanding of machine learning algorithms and their application in automated inspection systems.
- Excellent problem-solving skills and attention to detail.
The Automated Inspection Systems Engineer will deliver a flexible AI vision inspection model capable of combining inputs from various sensor types to process and classify all defects within Kohler’s manufacturing process requirements for quality, cycle time, and accuracy.
Why Choose Kohler?
We empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we’re driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives.
About Us
It is Kohler’s policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact kohlerjobs@kohler.com. Kohler Co. is an equal opportunity/affirmative action employer.
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