Autonomy Engineering Intern

Oshkosh Corporation•Frederick, MD

4d•$18 - $37•Hybrid

About The Position

Assist the advanced technologies group in building next generation of products using AI based object detection, virtual, and augmented reality technologies. YOUR IMPACT 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.

Requirements

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

Nice To Haves

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
Flexible and adaptable to working under tight deadlines and/or changing needs
A desire to learn multiple disciplines of engineering

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 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.