Product Development Engineering Co-op

• Liquid (Spring/Summer 2027) Atmus Filtration Technologies provides engineering experiences for students across a wide range of engineering disciplines and STEM aligned degree programs.

Co-op roles are typically project based and the student will gain a broad range of experiences and will grow as both a person and a professional.

Start Date:

Spring 2027 (Jan) or Summer 2027 (May/June)

Location:

Cookeville, TN Length of Role:

9 months

• minimum, 9-12 months +, highly preferred.

Education:

BS or MS in Mechanical or Industrial Engineering To be successful in this role you will need experience in or willingness to learn the following: Currently enrolled in an Engineering degree program and in good standing. Methodical and data-based approach to problem-solving Ability to follow HSE and Technical Function Standards / Practices Decision Quality Drives Results Collaborates & Communicates Effectively Self-Development Fast Learner Works well within a team setting. 3D Modeling Skills are a

PLUS Degree Programs Considered:

Bachelor's or Master's Major Programs Typically Considered:

Mechanical or Industrial Engineering Co-Op program criteria : Must be a currently enrolled student pursuing an undergraduate or graduate degree. Minimum 2.5 or above GPA preferred. Must be able to complete a minimum of 9-months, 9-12 months +, highly preferred. Must be able to complete 40 hours per week. Willingness to learn from others on the job. The Student Engineering Co-op/Interns will gain knowledge and support experienced engineering staff in one or more of the following areas: Research & Development

• New Media & Materials, Chemical Systems, Advanced Manufacturing Systems & Processes Product Design / Development / Validation
• New Product Development, Current Product Support or Validation/Verification planning for filtration & separation systems Customer Engineering
• Application & Customer support, Issue Resolution Test Engineering
• Development of new laboratory equipment, procedures, and test methods Reliability
• Product Development Risk Assessment & Failure Analysis Data Science
• Inferential Data Analysis & Predictive Tool Creation