About The Position

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.

Requirements

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

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.
  • Update Endurance Lab Windows CVI code as required.
  • Integrate monitoring code into the Endurance Test program.

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
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