2026 Fall Intern - Research & Development

About the role

This role is a hybrid internship at General Motors, starting September 7, 2026. The successful candidate will report to the office three times a week.

Responsibilities

• Conduct research and/or experiments to collect required data and validate research ideas
• Apply engineering, computational, and AI-based methods to challenging research problems across multiple technical domains
• Develop AI/ML models and algorithms for simulation tools and workflows supporting component analysis, structural optimization, systems optimization, autonomous vehicles, injury prediction, or power electronics research
• Analyze and compare technical approaches, methods, or system architectures and provide data-driven recommendations
• Develop and execute specific research plans, including concept generation, development, implementation, and validation
• Collaborate effectively with peers, management, operations groups, and outside organizations

Requirements

• U.S. citizenship required
• Currently enrolled in a PhD program
• Pursuing a degree in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Industrial Engineering, Systems Engineering, Biomedical Engineering, Applied Mathematics, or a closely related science/engineering field
• Strong foundation in at least one of the following areas: engineering analysis, AI/ML, optimization, robotics, simulation, controls, injury biomechanics, electric machines and drives, or power electronics
• Programming, modeling, or simulation experience using relevant engineering or data analysis tools
• Ability to work both independently and in teams
• Effective verbal and written communication skills
• Excellent persuasion, active listening, delegation, and leadership skills to work effectively with GM internal and external customers

Qualifications

• Strong foundation in at least one of the following areas: engineering analysis, AI/ML, optimization, robotics, simulation, controls, injury biomechanics, electric machines and drives, or power electronics
• Experience applying AI/ML, optimization, or agentic systems to engineering or operational problems
• Familiarity with testing, validation, benchmarking, or evaluation of multi-modal perception or command recognition systems
• Experience with simulation, modeling, or comparison of human body models or injury prediction methods
• Background and experience in AI assisted topological optimization of electric machines
• Exposure to wide bandgap semiconductors, GaN devices, switching technologies, or advanced electrical power systems
• Demonstrated ability to translate technical findings into clear recommendations for technical and non-technical audiences
• Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as needed
• Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, impactful insights
• Willingness to ask questions, take initiative, and be inventive
• Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a rapidly moving environment
• Evidence of strong character with integrity, honesty, accountability, and trust

Skills

Not specified

Benefits

Not specified

Pay

Not specified

Schedule

The successful candidate is expected to report in office three times per week, at minimum.

Qualifications

• U.S. citizenship required
• Currently enrolled in a PhD program
• Pursuing a degree in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Industrial Engineering, Systems Engineering, Biomedical Engineering, Applied Mathematics, or a closely related science/engineering field
• Strong foundation in at least one of the following areas: engineering analysis, AI/ML, optimization, robotics, simulation, controls, injury biomechanics, electric machines and drives, or power electronics
• Programming, modeling, or simulation experience using relevant engineering or data analysis tools
• Ability to work both independently and in teams
• Effective verbal and written communication skills
• Excellent persuasion, active listening, delegation, and leadership skills to work effectively with GM internal and external customers