2027 Summer Intern - Research and Development - EPSR Lab

General Motors • Warren, MI

8d • Hybrid

About The Position

General Motors is seeking a research intern to support advanced electrification and propulsion research within the Energy and Propulsion Systems Research organization. The intern will contribute to developing advanced motor topologies, control methods, and artificial-intelligence-enabled engineering tools for future hybrid-electric and battery-electric vehicles. The work combines analysis, simulation, laboratory experimentation, and hands-on testing in a collaborative research environment.

The position is categorized as hybrid, with the successful candidate expected to report to Warren, Michigan, at least three times per week and participate in onsite laboratory or hardware-testing activities when required. Internship start dates are May 24 or June 14, 2027. The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person. GM does not provide immigration-related sponsorship for this role.

Requirements

• Currently enrolled in an accredited advanced-degree (MS or PhD) program in engineering, computer science, applied mathematics, physics, or a related field.
• Demonstrated interest in electric machines, controls, power electronics, vehicle electrification, artificial intelligence, or a related technical area.
• Strong analytical, problem-solving, and technical communication skills.
• Ability to work independently while contributing effectively to a collaborative team.
• Ability to work in a hybrid environment and participate in onsite laboratory or hardware-testing activities when required.
• Must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee, or refugee) due to export control restrictions.
• Must not require GM immigration sponsorship now or in the future.

Nice To Haves

• Experience with electric-machine theory, motor drives, control systems, power electronics, or circuit design.
• Experience with MATLAB/Simulink, finite-element analysis software, or comparable engineering simulation and modeling tools.
• Programming experience in Python, MATLAB, C/C++, or a similar language.
• Experience applying AI or machine learning to engineering, controls, design optimization, or data analysis.
• Hands-on experience with laboratory instrumentation, dynamometer testing, motor testing, or power-electronics hardware.
• Familiarity with hybrid-electric or battery-electric propulsion systems.

Responsibilities

• Investigate advanced electric-machine topologies, including rare-earth-free synchronous reluctance, induction, and switched reluctance machines.
• Develop, evaluate, and improve control strategies for electric-drive systems.
• Apply artificial intelligence and machine-learning methods to electric-machine design, controls, modeling, diagnostics, or performance optimization.
• Support simulation, modeling, analysis, and concept development for hybrid-electric and battery-electric propulsion systems.
• Participate in drive-system testing, laboratory experiments, and validation of proof-of-concept hardware.
• Contribute to power-electronics and circuit-design activities as project assignments require.
• Analyze technical results and communicate findings through presentations, reports, and other research documentation.
• Collaborate with researchers, engineers, laboratory staff, and cross-functional project teams.
• Follow applicable laboratory, electrical-safety, data-management, and intellectual-property practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern