Interns Program: Part Time Project

Caterpillar Caterpillar · Industrial · Santa Catarina, Nuevo León, Cienega de Flores, Nuevo León

Internship opportunity for students in Computer Science, Data Science, Robotics & Automation, or Industrial Engineering to work on part-time projects related to engineering, data analysis, and programming in manufacturing plants. The role involves applying technology in manufacturing, analyzing complex data, or working with automation systems.

What you'd actually do

  1. Ser estudiante actual de 5° a 8° semestre de Computer Science, Desarrollo de Software o afín
  2. Bases sólidas en programación y resolución de problemas
  3. Interés en aplicar tecnología en manufactura
  4. Capacidad de autogestión (medio tiempo)
  5. Comunicación y trabajo en equipo

Skills

Required

  • current student
  • part-time availability
  • programming
  • problem-solving
  • interest in manufacturing technology
  • self-management
  • communication
  • teamwork
  • data analysis
  • business impact focus
  • organization
  • handling multiple deliverables
  • data storytelling
  • automation knowledge
  • control systems knowledge
  • robotics practical experience
  • interest in manufacturing and field work
  • technical capability
  • multidisciplinary collaboration
  • process analysis
  • analytical skills
  • interest in operations and manufacturing

Nice to have

  • Python
  • Java
  • C/C++
  • JavaScript/TypeScript
  • SQL
  • data modeling
  • APIs
  • frontend frameworks (React or similar)
  • AI/ML fundamentals
  • Git
  • basic development practices (CI/CD)
  • data visualization (matplotlib, plotly or similar)
  • Machine Learning basics
  • time series (desirable)
  • ETL/ELT
  • data quality
  • reproducible notebooks
  • industrial robotics (robots, motion control, EOAT)
  • PLCs (Rockwell, Siemens, basic logic)
  • sensors and electromechanical systems
  • robot programming (FANUC, ABB, KUKA)
  • simulation / digital twin
  • Lean Manufacturing (5S, Kaizen, VSM)
  • time and motion studies
  • line balancing and capacity analysis
  • advanced Excel / Power BI
  • process simulation (desirable)
  • supply chain and material flow