About The Position

Atmus Filtration Technologies offers engineering experiences for students across a range of engineering disciplines and STEM-aligned degree programs. Co-op roles are typically project-based and provide broad experiences intended to support students’ personal and professional growth. This role is based in Cookeville, Tennessee, with a start in January 2027 or May/June 2027. The role lasts at least nine months, with a commitment of 9–12 months or longer highly preferred. Students will support experienced engineering staff in one or more areas, including research and development, product design and development, customer engineering, test engineering, reliability, or data science.

Requirements

  • Be currently enrolled and in good standing in an undergraduate or graduate engineering degree program.
  • Pursue a Bachelor’s or Master’s degree; mechanical or industrial engineering are typically considered majors.
  • Have a methodical, data-based approach to problem-solving.
  • Be able to follow HSE and Technical Function standards and practices.
  • Demonstrate decision quality, drive results, collaborate and communicate effectively, and pursue self-development.
  • Be a fast learner and work well within a team setting.
  • Be able to complete at least nine months in the role; a 9–12 month or longer commitment is highly preferred.
  • Be able to work 40 hours per week.
  • Be willing to learn from others on the job.

Nice To Haves

  • 3D modeling skills.
  • A GPA of 2.5 or above.

Responsibilities

  • Support research and development in new media and materials, chemical systems, or advanced manufacturing systems and processes.
  • Support product design, development, and validation, including new product development, current product support, and validation or verification planning for filtration and separation systems.
  • Support customer engineering through application and customer support and issue resolution.
  • Support test engineering, including development of laboratory equipment, procedures, and test methods.
  • Support reliability activities, including product development risk assessment and failure analysis.
  • Support data science activities, including inferential data analysis and predictive tool creation.
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