2026 Summer Electrical Engineering Co-Op: AI & Data Monitoring

Charleston, SC, US • Posted 4 days ago • Updated 9 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Network
  • SAFE
  • Art
  • Mathematics
  • Robotics
  • Science
  • Real-time
  • Mechanical Engineering
  • Sensors
  • Application Development
  • Pandas
  • NumPy
  • scikit-learn
  • Machine Learning (ML)
  • matplotlib
  • LabWindows/CVI
  • Electrical Engineering
  • Python
  • C
  • C++
  • Artificial Intelligence
  • Data Science
  • Teamwork
  • Collaboration
  • Management
  • Employment Authorization

Summary

Company Description

Bosch Charleston is a part of a global network with close to 400,000 associates who make products that are "Invented for Life."

The Bosch Charleston plant has a long history in the Lowcountry and was established in 1974. We Drive. to provide a safe and inspiring environment for our associates. We make a difference and delight our global customers by creating state of the art products.

Over the past five years we have contributed over 1 million USD to Science, Technology, Engineering and Math (STEM) and environmental organizations in the Lowcountry through the Bosch Community Fund. Additionally, Bosch Charleston works closely with our partners to support these initiatives through volunteerism. There are many opportunities to get involved and we hope you will join us as we make a difference in the Lowcountry.

BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

FIRST Robotics (For Inspiration and Recognition of Science and Technology)

AWIM (A World In Motion)

Job Description

This is a Co-op Opportunity for engineering students to build a Python-based AI system for real-time anomaly detection in an endurance test lab for electro-mechanical brake systems.
  • Project: Develop a system to analyze live sensor data, predict component wear, and flag potential failures.
  • Core Responsibilities:
    • Develop software requirements to guide application development.
    • Use Python libraries (Pandas, NumPy, Scikit-Learn) to process data.
    • Train machine learning models for anomaly detection.
    • Visualize data with Matplotlib.
  • Additional Responsibilities:
    • Update Endurance Lab Windows CVI code as required.
    • Integrate monitoring code into the Endurance Test program.
  • Work-scope options:
    • Full-time Summer semester
    • Full-time Fall semester
    • Part-time (20 hours/week) work/school summer and/or fall

Qualifications
  • Must be pursuing a Bachelor's or Master's degree from a 4 year university, preferably in Electrical Engineering or Mechanical Engineering with an interest in programming.
    • Junior, senior, or 1st-year graduate student preferred.
  • Preferred Skills:
    • Foundational experience in a programming language such as Python, C, C++, etc.
    • Strong interest in AI and data science.
    • Self starting, results oriented, flexible, team player.
    • Demonstrates a strong sense of teamwork.
    • Ability to coordinate and manage multiple tasks simultaneously.
    • Meet deadlines on assigned tasks, utilize project timeline tools, effectively communicate goals and results.

Additional Information

Equal Opportunity Employer, including disability / veterans.

Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization is not available.

Compensation & Benefits:
  • Competitive hourly wage
  • Paid Holidays
  • Seniority accrual and guaranteed wage increases when returning for multiple terms
  • Rewarding learning experience
  • Post-graduation competitive advantage gained through practical work experience
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: 10221753
  • Position Id: beed52cd82db39eb955c83b8aa951b6b
  • Posted 4 days ago
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