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Eaton · 3 months ago

Internship Program: Engineering Technology - Power Electronics

Raleigh, North Carolina, USA, 27616

Internship

Onsite

Intern

$34.62/hr - $34.62/hr

Eaton is a global leader in power management solutions, and they are seeking interns for their Engineering and Technology Internship Program focused on Power Electronics. This 12-week paid internship will involve engaging in significant projects related to power electronics technology platforms while receiving mentorship from Eaton's leaders.

Electric Vehicle

No H1B

Responsibilities

Support product engineering projects driving the next wave of innovation for Eaton’s products

Engage in projects that hold tangible significance for our business while receiving guidance and mentorship from Eaton's esteemed leaders

Focus on the development of power electronics technology platforms and common hardware building blocks to create innovative solutions

Assignments will either be supporting a specific business unit/product line or working with broader technologies across the enterprise

Qualification

Electrical EngineeringPower ElectronicsControl DesignMachine LearningAI ConceptsCommunication SkillsLeadership Experience

Required

Actively enrolled or received a master's degree in electrical or electronics engineering from an accredited institution

Must be geographically flexible to relocate within the United States

Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc

Preferred

Industry experience in Power Electronics including controls

Prior internship or co-op experience (Power Electronics Hardware/Control Design, and/or Power conversion; Model based design/ electronic circuit design and simulation; Electrical testing, troubleshooting, & validation)

Demonstrated leadership experience within campus and/or community

Demonstrated exposure to machine learning or AI concepts through coursework, internships, research, or personal projects including experience using AI-assisted development tools, experience in prompt engineering, and working with generative AI models and simulation tools