Manufacturing Engineer Intern – Auto Tech, Detroit

Textron

Detroit (MI)

On-site

USD 28,000 - 34,000

Full time

5 days ago

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Job summary

Textron's 2027 Manufacturing Engineer Internship in Detroit, MI offers hands-on experience in process analysis, tooling, and system operations for automotive fluid fuel systems. You will collaborate with engineering and maintenance to drive improvements, support NPI launches, and develop standardized work instructions.

Currently pursuing an engineering or applied science degree with a focus on automation or robotics; candidates with data analysis, electronics, software engineering,

Qualifications

Pursuing a university degree in Engineering or Applied Science with a focus on automation or robotics.
Strong analytical and problem-solving mindset for process improvements.
Basic understanding of data analysis, electronics, and software/robotics applications.

Responsibilities

Work closely with the engineering and maintenance functions.
Problem-solving on current and prospective process opportunities as well as customer complaints.
Gain an understanding of patterns, tooling and layout, and system operations.
Gain an understanding of the blow molding and assembly process for manufacturing automotive fuel systems.
Conduct cycle time studies to determine bottlenecks and drive improvements to reduce scrap and downtime.
Create standardized work instructions as needed.
Analyze Scrap and Downtime on a production line, using analytical tools to Pareto and trend scrap drivers, root cause highest scrap drivers.
Work to analyze operational equipment efficiencies and make improvements based on A3/root cause analysis of top items affecting OEE and Scrap.
Participate in the operational meetings.
Assist the NPI group as needed to ensure the flawless launch of the projects.
Perform work as assigned by supervisor.

Skills

Data Analysis

Electronics

Software Engineering

Robotics/Automation

Mechatronics

Education

Engineering or Applied Science degree

Job description

Currently pursuing an engineering or applied science degree with a focus on automation or robotics; candidates with data analysis, electronics, software engineering,

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