Mobile Robots Intern - Agv Slam Research & Enhancement​

KION North America Corporation

Multiple Locations
Base: $19.00 - $23.00 ph; bonus/equity: not specif...
Not specified (assumed to be in-office due to the nature of the work).
Slam algorithm development
C++ programming skills
Python programming skills
KION North America Corporation is seeking a motivated Summer Intern for their Mobile Robots team, focusing on enhancing SLAM algorithms for autonomous navigation technologies. The role involves hands-on research, collaboration with engineering teams, and testing solutions on autonomous guided vehicles

Job Summary

  • This internship offers hands on experience with real robotic platforms, advanced autonomy algorithms, and applied research in an environment focused on real-world application.
  • You will research and implement pioneering SLAM algorithm improvements using Rust, C++ and Python, and test and validate solutions on real autonomous guided vehicles (AGVs).
  • We offer career development, competitive compensation and benefits, and global opportunities.

Matching Summary

Match Score: 75

KION North America Corporation is seeking a motivated Summer Intern for their Mobile Robots team, focusing on enhancing SLAM algorithms for autonomous navigation technologies. The role involves hands-on research, collaboration with engineering teams, and testing solutions on autonomous guided vehicles.

Salary

Base: $19.00 - $23.00 per hour; Bonus/Equity: Not specified; Benefits: Competitive Compensation and Benefits

Skills & Requirements

Must-have

  • SLAM algorithm development
  • C++ programming skills
  • Python programming skills
  • Rust programming skills
  • Testing on autonomous guided vehicles
  • Collaboration with engineering teams

Nice-to-have

  • Experience with ROS2
  • Applied research in robotics
  • Presentation of technical findings

Key Requirements

  • CS, Robotics, or Engineering student
  • Minimum 3.0 GPA
  • Strong C++, Python, or Rust skills
  • Academic or project background in autonomous systems, SLAM, or computer vision

Work Rights

Not specified

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