AI Intern

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.

THE ROLE

As an AI Engineer Intern in Summer 2027, you will contribute to the development and deployment of artificial intelligence and intelligent software solutions across Oshkosh's engineering and product platforms.

Depending on your experience, interests, and project assignment, you may work in areas such as machine learning, computer vision, edge AI, embedded systems, vehicle intelligence, connectivity, or software-defined vehicle technologies . You'll collaborate with engineering and technology teams to develop, test, and integrate intelligent solutions into real-world products and applications.

YOUR IMPACT

As an AI Engineer Intern, your responsibilities may include:

• Designing, training, evaluating, and deploying machine learning and AI models on GPU servers, cloud platforms, or edge devices
• Processing and analyzing structured and unstructured datasets, including imagery and sensor data
• Developing data pipelines and model deployment workflows from cloud to edge
• Integrating AI/ML models into applications, embedded systems, electronic control units (ECUs), or vehicle platforms
• Assisting in the development of software modules supporting vehicle intelligence, connectivity, automation, and advanced features
• Testing embedded and AI-enabled applications across hardware, vehicle networks, and software environments
• Using simulation environments and testing frameworks to validate algorithms, models, and system functionality
• Conducting experiments and benchmarking algorithms for performance, accuracy, and efficiency
• Supporting software integration, over-the-air (OTA) capabilities, and vehicle software lifecycle activities
• Participating in code reviews, technical discussions, system architecture development, and innovation activities
• Documenting system designs, test procedures, model behavior, performance metrics, and experimental results

MINIMUM QUALIFICATIONS

• Pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Data Science , or a related technical field
• Coursework or experience in one or more of the following areas: artificial intelligence, machine learning, computer vision, embedded systems, software development, or statistics
• Programming experience with Python, C++, or other relevant programming or scripting languages
• Familiarity with Linux environments
• Interest in applying AI and software technologies to real-world engineering and product challenges
• Willingness to travel or relocate to Oshkosh, WI for the summer internship

(Housing provided for interns living more than 50 miles from the work location)

PREFERRED QUALIFICATIONS

Experience or exposure to one or more of the following is a plus:

• Machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Computer vision and image processing
• GPU or NPU computing
• Edge AI and model optimization/deployment
• Embedded software and embedded computing platforms
• Vehicle communication technologies such as CAN
• AUTOSAR or automotive software architectures
• Vehicle connectivity and software-defined vehicle concepts
• Cloud-to-edge architectures and data pipelines
• Simulation, testing, or automated validation frameworks

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 View email address on click.appcast.io.

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.