Autonomy Engineering Intern
JLG Industries · Frederick, MD · 1 mo ago
Engineering$18–$37/hrFull-time
About the role
JLG, an Oshkosh Company, began in 1969 and is committed to understanding challenges and delivering innovative solutions in the access market. The company provides quality equipment, training opportunities, and trusted support worldwide, with products including mobile elevating work platforms, telehandlers, utility vehicles, and accessories. In this role you will assist the advanced technologies group in building next‑generation products using AI‑based object detection, virtual and augmented reality technologies.
Responsibilities
- Understand the problem and develop a solution
- Use Python, C++ as programming tools in Linux operating system
- Use OpenCV APIs for image processing and/or augmented reality application development
- Use Robot Operating System (ROS2) to build and deploy autonomy onto robotic platforms
- Use TensorFlow, PyTorch to create deep learning models using transfer learning approach
- Use NVIDIA Jetson or similar embedded boards to train and deploy deep learning/machine learning models
- Hands‑on experience working on aerial work platforms, telehandlers, and scissors lifts
- Design, model and test new systems that integrate with a machine
- Understand the Product Development Process, Life Cycle Management, Reliability, and Design for Manufacturing requirements
Requirements
- Student working towards a bachelor’s degree in robotics, computer, or electrical engineering
- Must be fluent in C++, Python, Linux (or Ubuntu)
- Exposure to training and deployment workflow
- Positive attitude with a strong desire to learn through theory and practice
- Graduation date of December 2025 or 2026
Qualifications
- Exposure to neural network development frameworks, such as TensorFlow, PyTorch
- Strong oral and written communication skills
- Experience in extracurricular activities outside academic requirements
- Previous internship or work‑related experience
- Ability to work independently while prioritizing workload
- Flexible and adaptable to working under tight deadlines and/or changing needs
- Desire to learn multiple disciplines of engineering
Pay
Pay Range $18.00 - $37.00