Advanced Manufacturing/Operations Analytics Engineering Co-op (Robotics and Automation)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Onsite at Plant 17 in Fond du Lac, Wisconsin, United States. Full-time, 40 or more hours per week, from May through December 2027. Relocation is available. No travel is required.
Pay: $18.00–$27.50 per hour, depending on credits, degree, skills, experience, business needs, and geographic location.
Company
is a global marine company; Mercury Marine manufactures marine propulsion systems, engines, services, and parts for recreational, commercial, and government applications.
What you will do
- Support manufacturing engineering projects and analysis across multiple operational plants.
- Collaborate with management, manufacturing, automation, quality, and process engineering teams.
- Program and interact with automation equipment, including robots, PLCs, and servos.
- Connect to, collect, and analyze data from operational equipment using ETL, SQL, Power BI, and the Microsoft Azure suite.
- Support CAD modeling, simulation, and 3D-printing activities.
- Present findings and recommendations that improve manufacturing processes and costs.
Requirements
- Current enrollment in a bachelor's program in Mechanical Engineering, Industrial Engineering, Data Science, or a related engineering or data-focused field.
- At least second-semester sophomore standing with 48 completed credits.
- Availability to work full-time, 40 or more hours per week, for the May–December 2027 co-op term.
- Ability to manage multiple projects, take initiative, and learn independently.
- Ability to occasionally lift up to 50 pounds.
- Permanent United States work authorization is required; visa sponsorship is not available now or in the future.
Culture & Benefits
- Hands-on experience applying academic knowledge to real manufacturing projects.
- Collaborative work alongside experienced professionals across operational plants.
- Exposure to Lean, Six Sigma, Kaizen, Industry 4.0, IIoT, and machine learning in a vertically integrated manufacturing environment.
- Feedback and performance reviews throughout the co-op assignment.
- Opportunities to develop communication, presentation, and continuous-improvement skills.
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