Calibration Engineering Intern — Data, ML & Automation

Bosch

Farmington Hills (MI)

On-site

USD 25,000 - 42,000

Full time

3 days ago
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Benefits offered by this job

Premium health coverage
401(k) with generous matching
Paid time off
Parental leave
Life and disability protection

Job summary

Bosch in Farmington Hills, MI offers an 8-month Calibration Engineering internship within the Power Solutions calibration group. You will engage in tool and efficiency development, data analysis, ML, and software-in-the-loop testing while gaining exposure to real-world engine calibration workflows.

Successful candidates will join a collaborative, learning-focused culture—working 35–40 hours weekly and contributing to hands-on projects and learning events.

Qualifications

  • Must be enrolled in a university and pursuing a Bachelor’s or Master’s in Engineering and/or Computer Science with at least one semester completed.
  • 1+ year academic or industry experience with software languages and operating systems.
  • Very good Python or C++ skills.
  • Minimum 3.0 GPA.
  • Must be at least 18 years old and able to work 35–40 hours per week.

Responsibilities

  • Create and program automated test scripts for Calibration tools and efficiency projects.
  • Perform data exploration, analysis, ML, and predictive modeling on datasets.
  • Conduct data mining and pattern recognition tasks to improve calibration models.
  • Develop Software In-The-Loop simulation and assist testing activities.
  • Support learning events (Hack-a-thon, Coding/AI training) and learn daily calibration workflows.

Skills

Python
C++
Software experience

Education

Undergraduate or graduate in Engineering/CS

Tools

None

Job description

Bosch in Farmington Hills, MI offers an 8-month Calibration Engineering internship within the Power Solutions calibration group. You will engage in tool and efficiency development, data analysis, ML, and software-in-the-loop testing while gaining exposure to real-world engine calibration workflows.

Successful candidates will join a collaborative, learning-focused culture—working 35–40 hours weekly and contributing to hands-on projects and learning events.

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