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Robotics Software Intern Jobs in Michigan (NOW HIRING)

POSITION OVERVIEW This is a research intern position within the Advanced Robotics team in the ... The candidate will get a chance to work under the guidance of a Robotics Software Technical ...

Robotics Software Intern information

What does a robotics software intern do?

A Robotics Software Intern assists in developing, testing, and debugging software for robotic systems. They often work with programming languages like Python, C++, or ROS (Robot Operating System) to write code that controls robot behavior and processes sensor data. Interns may also help integrate hardware with software, run simulations, and collaborate with engineers to improve robot performance. This role provides hands-on experience in robotics and software engineering, making it valuable for students interested in pursuing a career in robotics.

What skills and qualifications are needed to thrive as a robotics software intern?

To thrive as a Robotics Software Intern, you need a solid background in programming (often C++ or Python), knowledge of robotics fundamentals, and ongoing studies in computer science, engineering, or a related field. Familiarity with robotics platforms like ROS (Robot Operating System), simulation tools such as Gazebo, and version control systems like Git is typically expected. Initiative, effective problem-solving, and strong communication skills help interns collaborate and learn quickly in team environments. These skills are crucial for contributing to real-world robotics projects, adapting to evolving technologies, and maximizing your learning during the internship.

What types of projects and technologies can I expect to work on as a robotics software intern?

As a Robotics Software Intern, you will typically contribute to projects involving robot perception, control algorithms, simulation, or integration with hardware platforms. You may work with technologies such as ROS (Robot Operating System), C++, Python, and simulation tools like Gazebo or RViz. Interns often collaborate closely with cross-functional teams, including hardware engineers and researchers, to develop, test, and refine software for real-world robotic applications. The role offers hands-on experience in debugging, code reviews, and iterative development, providing valuable exposure to industry-standard robotics workflows.

What is the difference between Robotics Software Intern vs Robotics Engineer?

AspectRobotics Software InternRobotics Engineer
CredentialsTypically pursuing or recent graduate in Computer Science, Robotics, or related fieldBachelor's or Master's in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentInternship programs, entry-level projects, collaborative teamsFull-time roles, designing and developing robotic systems
Industry UsageInternship positions in robotics companies, research labsEstablished roles in robotics development and manufacturing
Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer advancement, professional responsibilities

The main difference between a Robotics Software Intern and a Robotics Engineer lies in experience and responsibilities. Interns are typically students or recent graduates gaining hands-on experience, while engineers are full-time professionals responsible for designing, developing, and maintaining robotic systems. Internships serve as a stepping stone toward a career as a Robotics Engineer.

What cities in Michigan are hiring for Robotics Software Intern jobs?

Cities in Michigan with the most Robotics Software Intern job openings:

Robotics AI Algorithm- R&D Summer 2026

Magna

Troy, MI

Full-time

Re-posted 17 days ago


Job description

Job descriptions may display in multiple languagesbased 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:
Research and implement a novel or extension of an algorithm in the areas of Artificial Intelligence for
our Robotic Manipulation application (such as Deep Learning, Reinforcement learning, Transformers,
Natural Language Processing (NLP), Diffusion models, Gen-AI).
Create representative case study to understand solution capabilities and limitations.
Create, modify, and implement the software packages to a practical application.
Develop evaluation criteria to test and evaluate the effectiveness of the systems.
Present technical results and provide recommendations based on the case study.
QUALIFICATIONS:
Comfortable developing, debugging, training, and testing models in deep learning frameworks
Prior experience in implementing Gen-AI, Transformers, Diffusion model-based solutions for Robotics
application are strongly preferred.
Strong knowledge of ML, DL theory.
Strong understanding of state-of-the-art AI techniques.
Prior Experience with researching and implementing new Deep Learning architectures.
Prior experience with model training and inference.
Candidates with a good research record with publications are preferred.
Excellent coding abilities in Python, PyTorch/TensorFlow.
Good understanding of Robotics fundamentals.
Curious, Team Player and ability to thrive in collaborative, small team environment.
EDUCATION / EXPERIENCE
Current Graduate student preferably in a PhD program or MS program focused on
researching/implementing Artificial Intelligence, Machine Learning, Generative AI based solutions for
Robotics 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