Process Engineering Co-Op

Burlington, MA, US • Posted 8 hours ago • Updated 8 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Optimization
  • Operational Excellence
  • Quality Control
  • Process Improvement
  • Computer Hardware
  • Reporting
  • Manufacturing Engineering
  • Chemistry
  • Adaptability
  • Communication
  • Materials Science
  • Mechanical Engineering
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • Material Characterization
  • Process Optimization
  • Research
  • Design Of Experiments
  • Statistics
  • Microscopy
  • Data Collection
  • Python
  • Linux
  • Microsoft Excel
  • JIRA
  • Git
  • Manufacturing
  • Process Engineering
  • Testing
  • Data Analysis
  • Continuous Improvement
  • FOCUS
  • Collaboration
  • Innovation
  • Accountability
  • ROOT
  • Process Manufacturing
  • Quality Assurance
  • Programmable Logic Controller
  • Law

Summary

Process Engineering Co-Op (January - June 2027)

What you will do:

Johnson Controls is seeking a Process Engineering Co-op to support the development, optimization, and standardization of advanced manufacturing processes. In this role, you will work closely with engineering teams to improve process performance, support production scale-up efforts, and develop testing and analysis methods that drive product quality and operational excellence.

This position offers hands-on experience in process development, materials characterization, quality control, statistical analysis, and manufacturing innovation. The ideal candidate is curious, adaptable, and excited to solve technical challenges in a fast-paced engineering environment.

How you will do it:
  • Tune manufacturing process parameters to improve performance, consistency, and production outcomes.
  • Support quality control initiatives and process improvement efforts related to production scale-up activities.
  • Develop and perform surface characterization testing and metallographic inspections.
  • Conduct electron microscopy and optical microscopy analysis to evaluate material and process performance.
  • Develop, document, and execute mechanical testing methods.
  • Design and execute Design of Experiments (DOE) and perform statistical analysis to support process optimization.
  • Utilize manufacturing equipment, hardware, and software to produce sample parts and test specimens.
  • Collaborate with cross-functional engineering teams to evaluate machine performance and recommend improvements.
  • Develop automated data collection, reporting, and statistical analysis tools to monitor quality metrics.
  • Document testing results, process changes, and engineering findings in a clear and effective manner.
  • Demonstrate Johnson Controls' Winning Behaviors by focusing on impactful work, collaborating across teams, taking ownership of results, and continuously seeking opportunities to improve processes and outcomes.

Required Qualifications:
  • Currently pursuing a degree in Mechanical Engineering, Manufacturing Engineering, Materials Engineering, Chemistry, or a related technical discipline.
  • Demonstrated ability to take ownership of projects and complete assignments efficiently and effectively.
  • Adaptable and able to excel in a fast-paced environment.
  • Strong written and verbal communication skills with the ability to clearly document technical processes and findings.
  • Coursework or academic background in materials science, mechanical engineering, manufacturing processes, or controls systems.
  • Strong analytical and problem-solving skills.
  • Interest in materials characterization, process optimization, and manufacturing technologies.
  • Must be legally authorized to work in the United States without current or future sponsorship.

Preferred Qualifications:
  • Previous co-op, internship, research, or industry experience.
  • Experience with Design of Experiments (DOE), statistical analysis, or quality engineering methodologies.
  • Exposure to metallography, microscopy, materials testing, or laboratory analysis techniques.
  • Familiarity with data collection, process monitoring, and quality metrics.
  • Experience with Python, Linux, Excel, Jira, Git, or PLC programming.
  • Interest in advanced manufacturing, process development, and production scale-up activities.

Why Join Us?

At Johnson Controls, you'll gain valuable hands-on experience working on engineering challenges that directly impact manufacturing performance, product quality, and process innovation. You'll collaborate with experienced engineers and technical professionals while building expertise in process development, testing, data analysis, and continuous improvement.

Our culture is guided by our Winning Behaviors:

  • We Focus on What Matters by prioritizing work that drives the greatest impact for customers, quality, and operational performance.
  • We Win as One Team through collaboration, respect, and diverse perspectives that strengthen innovation.
  • We Own the Outcome by taking accountability for safety, integrity, quality, and results.
  • We Improve Every Day by solving root causes, embracing learning opportunities, and continuously refining our processes.

This co-op offers an excellent opportunity to apply classroom knowledge, gain real-world engineering experience, and develop skills that will help prepare you for a successful career in process, manufacturing, materials, or quality engineering.

Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX158e0c
  • Position Id: 3a5b36f26ef3e3e6828f75500f5823af
  • Posted 8 hours ago
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