Robotics AI Software- R&D Summer 2026

Job descriptions may display in multiple languages based on your language selection.

What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities:

POSITION OVERVIEW

This is a research intern position within the Advanced Robotics team in the Corporate Engineering and R&D

department. The Advanced Robotics team is focused on developing novel technologies that give robots

human-like capabilities in perception and dexterity. The candidate will design, develop and evaluate Task and

Motion Planning algorithms for Articulated Manipulator Robots. The candidate will get a chance to work under

the guidance of a Robotics Software Technical Specialist. Magna's Student Program provides students the

opportunity to gain practical work experience in their area of study related to the automotive industry.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Develop or improve applications, algorithms and approaches in our AI software for Robotics

Manipulation tasks.

• Design, develop or deploy software solutions for our AI, ML & DL pipelines.
• Create representative case study to understand solution capabilities and limitations.
• Develop evaluation criteria to test and evaluate the effectiveness of the systems.
• Present technical results and provide recommendations based on the case study.

QUALIFICATIONS:

• Prior experience in MLOps, DevOps and writing software for creating AI applications.
• Knowledge of ML, DL theory.
• Experience in training, deploying applications using ML workflows like PyTorch/TensorFlow, Python

and DL tools.

• Prior experience with running model training and inference.
• Excellent coding and scripting abilities in Python
• Good understanding of Robotics fundamentals.
• Curious, Team Player and ability to thrive in collaborative, small team environment.

EDUCATION / EXPERIENCE

• Current higher education student; preferably in a graduate program focused on implementing Artificial

Intelligence, Machine Learning, Deep learning-based solutions for Robotics or hardware-interface

based applications.

PHYSICAL DEMANDS / WORK ENVIRONMENT:

• Normal amount of sitting or standing, average mobility to move around an office (Troy, MI)

environment, able to conduct a normal amount of work at a computer

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:

Intern (Fixed Term) (Trainee)

Group:

Magna Corporate