Production Engineer Co-Op - Spring 2027 (Northeastern University)
Siemens · Hingham, MA · 1 mo ago
On-siteAdministrativeFull-time
About the role
We are looking for a Spring 2027 (January – June) Production Engineer Co-op as part of the Operations Leadership Development Program with our Smart Infrastructure Electrical Products division. This position is based in Hingham, Massachusetts. This co-op will prepare you for a potential opportunity with our two-year rotational Operations Leadership Development Program and other entry-level roles upon graduation.
Responsibilities
- Monitor and analyze production performance, including output, efficiency, downtime, quality, and labor utilization.
- Maintain production dashboards, scorecards, and action tracking systems to support daily management.
- Lead and support Lean Manufacturing and continuous improvement initiatives focused on productivity, quality, safety, and efficiency.
- Conduct process observations, time studies, bottleneck analyses, and line-balancing studies to identify improvement opportunities.
- Develop and implement digital tools that automate manual processes and improve operational visibility and decision-making.
- Support quality, safety, and ergonomic improvement initiatives through data analysis, audits, and corrective actions.
- Develop and standardize SOPs (standard operation procedures), visual work instructions, and operational best practices.
- Manage improvement projects from planning through implementation, tracking results and sustaining improvements.
- Collaborate with production, engineering, quality, safety, and other cross-functional teams to drive operational improvements.
Requirements
- Juniors, Seniors, and graduate students pursuing a bachelor’s or master’s degree in Industrial Systems Engineering, Industrial Engineering, Mechanical Engineering, Electrical Engineering or related majors
- Must be enrolled as a student at Northeastern University at the time of the co-op
- Proficiency in Microsoft Excel and the Microsoft Office Suite for data analysis,