Description

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GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

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Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report in office three times per week, at minimum [or other frequency dictated by the business].

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Start dates for this internship role are May 18 & June 15 of 2026.

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What You Will Do:

• Develop tools leveraging LLMs to automate manual tasks employing RAG, fine tuning, and prompt engineering in the domain of System Safety, Manufacturing, Software Development Lifecycle.

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Required Qualifications:

• U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens.
• Must be a current PhD student or second year master’s student in engineering or science
• Research experience in at least one of the following areas: Software Engineering, System Design, AI/ML, Control Theory
• Strong theoretical, and software programming skills

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What Will Give You a Competitive Advantage (Preferred Qualifications):

• Experience with AI and ML frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn
• Knowledge of software development methodologies and best practices
• Familiarity with data analysis, statistical modeling, and data visualization techniques
• Excellent problem-solving and analytical skills
• Strong written and verbal communication skills
• Demonstrates leadership in field of study, extra-curricular activities, or service organizations