NHL/ANAN-104802
As a member of the engineering group providing support in a high-volume, fully automated manufacturing environment, the Controls Engineer plays a key role in process development, troubleshooting, maintenance and continuous improvement of production processes and equipment.
Responsibilities:
* Develop, design, and evaluate controls and vision aspects of equipment and/or processes, requiring novel and innovative approaches.
* Manage controls and vision aspects of projects related to product & equipment development.
* Liaise with R&D teams as needed, providing input on component / assembly development projects.
* Support operations, optimizing existing processes as needed to ensure that engineering work orders / production-related goals are met.
* Develop expertise to become the subject matter expert for assigned processes.
* Drive process improvements through problem identification and collaboration with internal groups and external vendors using Lean / Six Sigma and project management techniques.
* Drive structured problem-solving through data collection in collaboration with technician and engineering groups.
* Assist with Quality Non-conformances, Customer Complaints and CAPA investigations.
* Create opportunities for team building, brainstorming, blitz, project planning sessions, and relationship building throughout the organization.
* Liaise with external equipment manufacturers / suppliers.
* E nsure all group activities comply with the Business Quality Policy.
* Adhere to current health, safety, and environmental best practices, ensuring all work is appropriately risk-assessed.
* Perform other tasks relevant to skills as requested by the Engineering Leader.
Experience:
* 4+ years of process engineering experience in a regulated manufacturing environment.
* Knowledge of Cognex InSight vision systems and Allen Bradley Studio5000 PLC programs is essential.
* Python and SQL knowledge is desirable.
* Strong data analysis skills and experience applying Six Sigma or equivalent structured problem-solving approaches.
* High-speed automation experience, equipment validation, and documentation are advantageous.