{"id":3882117,"url":"https://alion.io/job/bmw-group-intern-power-electronics-gan-technology-spring-2027","title":"Intern, Power Electronics & GaN Technology - Spring 2027","company":{"id":1044994,"name":"BMW Group","domain":"bmwgroup.com","url":"https://alion.io/company/bmw-group-pressclub","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Energy","role_family":"Energy","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":32,"max":null,"currency":"USD","period":"hour","gross":null,"usd_annual":64000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"JavaScript","optional":false},{"name":"LTspice","optional":false},{"name":"MATLAB","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Perplexity","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-06T18:30:23Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-12T23:57:05Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Spring 2027 Full-Time Internship - Mountain View, CA\nJanuary 11, 2027 - May 14, 2027\nWHAT AWAITS YOU.\nEvaluate U.S. high-voltage gallium nitride (GaN) technologies and R&D for EV charging and traction inverters.\nScout U.S. onboard charging and traction inverter technologies and suppliers.\nResearch emerging wide-bandgap semiconductor materials and devices.\nSupport simulations and analytical studies to optimize wireless charging performance and integration using novel power electronic components.\nDevelop reports on the U.S. GaN technology landscape and existing and emerging onboard charger trends.\nBuild a simulation model of an optimized wireless charging topology while gaining knowledge of state-of-the-art GaN devices and wireless EV charging.\nWHAT WE ARE LOOKING FOR.\nCurrently enrolled in a bachelor’s or master’s degree program at an accredited college or university.\nUS Work Authorization required.Minimum cumulative GPA of 3.0 (overall, not just major).\n\nCompleted at least 60 college credit hours at the time of application.\nAbility to work full-time (36.25 hours/week).\nMust submit an unofficial college transcript with your application.\nWHAT YOU SHOULD BRING.\nField of Study: Electrical engineering or related fields.\nBusiness fluent English.\nStrong fundamentals in power electronic topologies, circuit analysis, and controls applied to high-frequency AC-to-DC, DC-to-DC, and DC-to-AC converters.\nKnowledge of and experience with high-voltage wide-bandgap semiconductors, including GaN bidirectional switches.\nProficiency in LTspice circuit simulation of power electronic converters.\nExperience and confidence in collaborating with internal and external colleagues of diverse skills and motivations, including internationally.\nExcellent time-management skills; ability to prioritize and handle multiple tasks simultaneously.\nAbility to manage sensitive and confidential information.\nExcellent organizational and planning skills.\nAttention to detail and clear documentation.\nSelf-motivated, adaptable to a dynamic environment.\nAble to work both independently and as part of a team.\nProficiency in Microsoft Office including strong Excel and PowerPoint skills\nProficiency with AI models (e.g., Claude, GPT, Gemini) and/or AI tools (e.g., Perplexity, Cursor). An openness to experiment with AI models and tools for use cases relevant to power electronics and/or technology scouting.\nHands-on experience with programming languages, such as Python, MATLAB, or JavaScript.\nWHAT YOU CAN LOOK FORWARD TO.\nMedical insurance coverage.\nPaid time off in addition to company paid holidays where eligible.\nHybrid work environment.\nAccess to the Intern Vehicle Lease Program.\nRelocation assistance is not available for this position. This is a hybrid role that requires in office days at the Mountain View, CA office.\nUndergraduate students: Hourly rate is $32.50.\nMaster’s Degree students: Hourly rate is $40.00.\nThe selected student's current academic level will be used to determine the final pay rate. This statement is in accordance with state and local pay disclosure requirements.\nAs part of the hiring process, you may be required to successfully pass a background check. A satisfactory completion of a background investigation including verification of education, prior employment, criminal history, credit check history, and pre-employment drug screen to the extent permissible under applicable state law, is a condition of your offer of employment and your continued employment. The results of your background investigation are satisfactory and acceptable in the sole judgement and discretion of BMW Shared Services, LLC.\nEven more so than the generous compensation and benefits, the culture and values of BMW of North America make it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.\nBMW in the United States is an equal opportunity employer. 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