Autonomy Engineering Intern

JLG Industries

Frederick (MD)

On-site

USD 25,000 - 51,000

Full time

11 hours ago
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Job summary

JLG Industries, an Oshkosh company, is seeking a robotics-oriented student to join the advanced technologies group.

You will work on developing next-generation products using AI-based object detection, virtual and augmented reality, and autonomous platforms. The role emphasizes hands-on learning with ROS2, OpenCV, TensorFlow/PyTorch, and embedded hardware, in a dynamic team environment.

Qualifications

  • Student working toward 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, such as Rodolfo.

Responsibilities

  • Understand problems and develop solutions.
  • Use Python, C++ as programming tools in Linux.
  • Use OpenCV APIs for image processing and/or AR development.
  • Use ROS2 to build and deploy autonomy onto robotic platforms.
  • Use TensorFlow or PyTorch to create deep learning models (transfer learning).
  • Use NVIDIA Jetson or similar boards to train/deploy ML models.
  • Hands-on experience with aerial work platforms, telehandlers, and scissors.
  • Design, model and test systems that integrate with a machine.
  • Understand Product Development Process, Life Cycle Management, Reliability, and DFM.

Skills

C++
Python
Linux
Communication

Education

Bachelor's degree (in progress) in robotics, computer or electrical engineering

Tools

ROS2
OpenCV
TensorFlow/PyTorch

Job description

About JLG, An Oshkosh Company

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.

About JLG, An Oshkosh Company

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.

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.
Minimum Qualifications
  • Student working towards a bachelors 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
Standout 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 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
WORKING CONDITIONS

The following represents general working conditions for this role. Specific conditions may vary depending on business needs and individual circumstances.

  • This role combines office-based administrative duties with physical activity in field or production environments.
  • In the office setting, tasks may require extended computer use, sitting, and attending meetings.
  • Field or floor work may involve walking across various terrains or shop floors, standing, moderate lifting (up to 50 pounds), climbing stairs, and exposure to varying temperatures or noise levels.
  • Must be able to shift focus between detailed cognitive work and occasional physical tasks as needed.
  • Reasonable accommodations will be provided for qualified individuals with disabilities to support performance across both office and field responsibilities.
WHY JLG, AN OSHKOSH COMPANY?

Moving the future forward is our priority and this includes your future. We encourage professional development and champion our employees' success through various skills and training opportunities. Named one of the World's Most Ethical Companies by Ethisphere Institute for six consecutive years, everything we do at Oshkosh is guided by our core values and the ~15k+ team members around the world who embody them.

We put people first. We do the right thing. We persevere. We are better together.

Pay Range

$18.00 - $37.00

The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.

Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com.

Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.

Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.

Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be 'U.S. Persons,' as defined in these regulations. Generally, a 'U.S. Person' is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

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