Calibration Engineering Intern — Data, ML & Automation

Bosch; Farmington Hills (MI); Sur place; USD 25 000 - 42 000; Plein temps

Avantages offerts par ce poste

Premium health coverage

401(k) with generous matching

Paid time off

Parental leave

Life and disability protection

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python

C++

Software experience

Formation

Undergraduate or graduate in Engineering/CS

Outils

None

Description du poste

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.