2027 Summer Intern - Research and Development - EPSR Lab

Employer description

Job Description

The RoleGeneral Motors is seeking a highly motivated research intern to support advanced electrification and propulsion research within the Energy and Propulsion Systems Research organization. The intern will contribute to the development of advanced motor topologies, control methods, and artificial-intelligence-enabled engineering tools for future hybrid-electric and battery-electric vehicles.

This role offers opportunities to combine analytical work, simulation, laboratory experimentation, and hands-on testing in a collaborative research environment.

What You’ll Do:Investigate advanced electric-machine topologies, including rare-earth-free synchronous reluctance machines, induction machines, 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 HEV and EV 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 needed by project assignments.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.
Required Qualifications:Current enrollment in an accredited advanced degree (MS or PhD) program in engineering, computer science, applied mathematics, physics, or 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.
Preferred Qualifications:Experience with electric-machine theory, motor drives, control systems, power electronics, or circuit design.Experience with simulation or modeling tools such as MATLAB/Simulink, finite-element analysis software, or comparable engineering 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 HEV or EV propulsion systems.
What You Will GainPractical experience with advanced electric-drive research for future vehicles.Exposure to rare-earth-free motor technologies and next-generation control strategies.Opportunities to integrate modeling, simulation, AI, hardware development, and experimental validation.Experience presenting technical work to research and engineering stakeholders.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.)

The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).

Work Arrangement: 

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.

Start dates for this internship role are in May 24th & June 14th of 2027.

About GM

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