Industrial Engineering Intern — Drive Efficiency in Smyrna

Nissan USA; Smyrna (TN); On-site; USD 25,000 - 39,000; Full time

Job summary

Nissan USA in Smyrna, TN is seeking an Industrial Engineering Intern to join a hands-on team involved in the full manufacturing process. This 12-week program offers exposure to efficiency initiatives, waste reduction, and data-driven decision making, with mentorship from experienced engineers.

Ideal candidates are undergraduates in IE/ME/Engineering Technology, entering junior or senior year, with a 3.0+ GPA, and a strong interest in process improvement and manufacturing operations.

Qualifications

• Must be enrolled as an undergraduate in IE/ME/Engineering Tech or related field.
• Junior or Senior year at start of the term.
• GPA 3.0 or above; transcript required.
• Able to work onsite in Smyrna, TN.
• Strong problem-solving and analytical skills.

Responsibilities

• Support industrial engineering initiatives focused on improving manufacturing efficiency.
• Analyze production processes, manpower allocation, and parts complexity to identify opportunities for continuous improvement.
• Assist with projects involving process optimization, productivity improvements, and operational performance enhancements.
• Explore innovative manufacturing solutions, including AI-driven process automation and data-based decision making.
• Partner with engineering team members to develop and implement a project that delivers measurable results during the internship.

Skills

Problem solving

Analytical skills

Self-motivated

Team collaboration

Punctual

Communication

Attention to detail

Education

Undergraduate degree in Industrial Engineering, Manufacturing Engineering, Engineering Technology, Industrial Technology, Mechanical Engineering, or related field

Job description

Nissan USA in Smyrna, TN is seeking an Industrial Engineering Intern to join a hands-on team involved in the full manufacturing process. This 12-week program offers exposure to efficiency initiatives, waste reduction, and data-driven decision making, with mentorship from experienced engineers.

Ideal candidates are undergraduates in IE/ME/Engineering Technology, entering junior or senior year, with a 3.0+ GPA, and a strong interest in process improvement and manufacturing operations.