General Motors
2027 Summer Intern - Research and Development - Defense Lab Modeling and Simulation
Warren, Michigan, United States of America · Hybrid · Internship · Posted Oct 12, 2026
- Experience
- Demonstrated academic, research, project, or internship experience in at least one relevant area; no years specified.
- Education
- Pursuing an advanced degree (Masters or PhD) in engineering, computer science, applied mathematics, physics, or a related technical field.
- Visa sponsorship
- GM does not provide immigration-related sponsorship now or in the future, including sponsorship or immigration support for H-1B, OPT, STEM OPT, CPT, TN, and J-1. U.S. citizenship is required, and candidates must be eligible to obtain a Secret U.S. Security Clearance.
About the job
Supports GM’s defense-focused research through modeling and simulation, technical analysis, testing, and development of vehicle, system, or software applications.
What you'll do
- Develop, update, or apply models and simulations for defense and automotive applications; analyze vehicle or system performance.
- Support research planning and execution, including experimentation, testing, evaluation, and documenting methods and results.
- Collaborate with technical stakeholders and communicate findings through presentations, reports, and research summaries.
What they ask for
- U.S. citizenship; must be a current student pursuing a master’s or PhD in a relevant technical field.
- Able to work full time, 40 hours per week during the summer months.
- Academic, research, project, or internship experience in at least one relevant area, such as modeling and simulation, vehicle systems, autonomy, robotics, controls, or defense technology.
- Strong analytical, problem-solving, technical writing, communication, and collaboration skills; able to work in a hybrid environment and meet milestones.
Nice to have
- Currently pursuing a PhD; prior experience in defense systems, military platforms, vehicles, simulation, testing, or assessment.
- Experience with programming, data analysis, numerical methods, simulation tools, technical presentations, or systems engineering.
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