The board
- Hours
- Full time
- Where
- Frederick, Maryland, United States
- Posted
- Sep 17
JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products—including mobile elevating work platforms, telehandlers, utility vehicles and accessories—can be found all over the world.
Assist the advanced technologies group in building next generation of products using AI based object detection, virtual, and augmented reality technologies.
What you'd do
- 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 realty 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
- 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.
What they want
- Student working towards a bachelor’s degree in robotics, computer, and electrical engineering
- Must be fluent in C++, Python, Linux (or Ubuntu)
- Exposure to training and deployment workflow, such as Rodolfo
- A positive attitude with a strong desire to learn through theory and practice
- Graduation date of December 2025 or 2026
- 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 experience or work-related experience
- Ability to work independently while prioritizing workload
- Starts
- 2026-09-17