{"schemaVersion":"jobsearcher.job.v1","id":"9b707e22d2f2f47a22eea632","url":"https://jobsearcher.com/jobs/9b707e22d2f2f47a22eea632","canonicalUrl":"https://jobsearcher.com/jobs/9b707e22d2f2f47a22eea632","title":"Intern- AI-Driven Control & Intelligence","description":"Position Title\nSummer Intern – AI-Driven Control & Intelligence\n\nPosition Short Description\nThe internship focuses on accelerating next-generation AI-driven control and intelligence development for advanced multi-phase power supply units (PSUs), including six-phase Vienna rectifier architectures for AI rack and data center applications. The intern will support AI/ML-based control development, coordinated multi-phase control strategies, adaptive mode switching, phase reconfiguration, modeling, and Model-in-Loop (MIL) validation activities. The role also includes contributing to invention disclosures, experimental datasets, and data-backed intellectual property generation supporting Vertiv’s H3 innovation roadmap.\n\nPosition Summary\nWe are seeking a highly motivated summer intern to support advanced R&D activities in intelligent and AI-enabled control systems for next-generation AI infrastructure. The intern will work closely with research engineers to develop and validate control strategies for multi-phase Vienna rectifier-based PSU architectures targeting high-efficiency, scalable, and fault‑tolerant AI rack systems.\n\nThe internship will emphasize AI-assisted control development, adaptive operational optimization, coordinated multi-phase control, and system-level modeling for advanced PSU architectures. The candidate will support simulation, Model-in-Loop (MIL) validation, data analysis, and prototype-oriented algorithm evaluation aimed at accelerating H3-to-H2 technology transition and strengthening the innovation and patent pipeline.\n\nResponsibilities\n\nSupport development of AI/ML-based control algorithms for advanced multi-phase PSU architectures and six-phase Vienna rectifier systems.\n\nAssist in development and validation of:\n\nMulti‑phase coordinated control strategies\n\nAdaptive mode switching methods\n\nDynamic phase reconfiguration techniques\n\nLoad‑aware intelligent power management algorithms\n\nDevelop simulation models and reduced‑order models.\n\nPerform Model-in-Loop (MIL) validation and controller performance evaluation.\n\nAnalyze transient, steady‑state, efficiency, thermal, and fault‑response behavior of advanced PSU systems.\n\nGenerate and organize experimental/simulation datasets for AI‑driven control training and validation.\n\nSupport prototype‑oriented feasibility studies and design validation activities.\n\nCollaborate with cross‑functional R&D teams working on H3 innovation initiatives for AI infrastructure and next‑generation technologies.\n\nQualifications\nRequired Qualifications\n\nPursuing MS or PhD in:\n\nElectrical Engineering\n\nMechanical Engineering\n\nControl Systems\n\nComputer Engineering\n\nMechatronics\n\nRelated engineering discipline\n\nFamiliarity with simulation/modeling tools such as:\n\nMATLAB/Simulink\n\nBasic programming experience in:\n\nPython\n\nMATLAB\n\nC/C++\n\nStrong analytical, problem‑solving, and technical communication skills.\n\nPreferred Qualifications\n\nExperience with:\n\nAI/ML control development\n\nDigital control implementation\n\nAI/ML-based control techniques\n\nReinforcement learning or adaptive control\n\nExposure to:\n\nModel‑in‑Loop (MIL)\n\nHardware‑in‑Loop (HIL)\n\nDigital twin concepts\n\nAI infrastructure or data center power systems\n\nInterest in advanced R&D, innovation, and patent generation activities.\n\nPrior research publications or hands‑on laboratory experience in power electronics or intelligent control systems is a plus.\n\nExpected Outcomes\n\nAccelerated development of AI‑driven control frameworks for AI rack PSUs.\n\nValidated models and datasets supporting intelligent controller development.\n\nImproved readiness for H3 → H2 technology transition.\n\nEnhanced invention disclosure and patent generation pipeline.\n\nFaster evaluation of adaptive multi‑phase architectures and intelligent power delivery strategies.\n\nEqual Opportunity Employer\nVertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com.\n\nWork Authorization\nNo calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F‑1, H‑1, H‑2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.\n\n#J-18808-Ljbffr","company":"Vertiv","rawCompany":"vertiv","city":"Delaware","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-06-17T04:17:12.224Z","occupations":[{"code":"17-2071.00","title":"Electrical Engineers","slug":"electrical-engineers"},{"code":"17-2199.05","title":"Mechatronics Engineers","slug":"mechatronics-engineers"},{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"335313","title":"Switchgear and Switchboard Apparatus Manufacturing","slug":"switchgear-and-switchboard-apparatus-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Intern- AI-Driven Control & Intelligence","description":"Position Title\nSummer Intern – AI-Driven Control & Intelligence\n\nPosition Short Description\nThe internship focuses on accelerating next-generation AI-driven control and intelligence development for advanced multi-phase power supply units (PSUs), including six-phase Vienna rectifier architectures for AI rack and data center applications. The intern will support AI/ML-based control development, coordinated multi-phase control strategies, adaptive mode switching, phase reconfiguration, modeling, and Model-in-Loop (MIL) validation activities. The role also includes contributing to invention disclosures, experimental datasets, and data-backed intellectual property generation supporting Vertiv’s H3 innovation roadmap.\n\nPosition Summary\nWe are seeking a highly motivated summer intern to support advanced R&D activities in intelligent and AI-enabled control systems for next-generation AI infrastructure. The intern will work closely with research engineers to develop and validate control strategies for multi-phase Vienna rectifier-based PSU architectures targeting high-efficiency, scalable, and fault‑tolerant AI rack systems.\n\nThe internship will emphasize AI-assisted control development, adaptive operational optimization, coordinated multi-phase control, and system-level modeling for advanced PSU architectures. The candidate will support simulation, Model-in-Loop (MIL) validation, data analysis, and prototype-oriented algorithm evaluation aimed at accelerating H3-to-H2 technology transition and strengthening the innovation and patent pipeline.\n\nResponsibilities\n\nSupport development of AI/ML-based control algorithms for advanced multi-phase PSU architectures and six-phase Vienna rectifier systems.\n\nAssist in development and validation of:\n\nMulti‑phase coordinated control strategies\n\nAdaptive mode switching methods\n\nDynamic phase reconfiguration techniques\n\nLoad‑aware intelligent power management algorithms\n\nDevelop simulation models and reduced‑order models.\n\nPerform Model-in-Loop (MIL) validation and controller performance evaluation.\n\nAnalyze transient, steady‑state, efficiency, thermal, and fault‑response behavior of advanced PSU systems.\n\nGenerate and organize experimental/simulation datasets for AI‑driven control training and validation.\n\nSupport prototype‑oriented feasibility studies and design validation activities.\n\nCollaborate with cross‑functional R&D teams working on H3 innovation initiatives for AI infrastructure and next‑generation technologies.\n\nQualifications\nRequired Qualifications\n\nPursuing MS or PhD in:\n\nElectrical Engineering\n\nMechanical Engineering\n\nControl Systems\n\nComputer Engineering\n\nMechatronics\n\nRelated engineering discipline\n\nFamiliarity with simulation/modeling tools such as:\n\nMATLAB/Simulink\n\nBasic programming experience in:\n\nPython\n\nMATLAB\n\nC/C++\n\nStrong analytical, problem‑solving, and technical communication skills.\n\nPreferred Qualifications\n\nExperience with:\n\nAI/ML control development\n\nDigital control implementation\n\nAI/ML-based control techniques\n\nReinforcement learning or adaptive control\n\nExposure to:\n\nModel‑in‑Loop (MIL)\n\nHardware‑in‑Loop (HIL)\n\nDigital twin concepts\n\nAI infrastructure or data center power systems\n\nInterest in advanced R&D, innovation, and patent generation activities.\n\nPrior research publications or hands‑on laboratory experience in power electronics or intelligent control systems is a plus.\n\nExpected Outcomes\n\nAccelerated development of AI‑driven control frameworks for AI rack PSUs.\n\nValidated models and datasets supporting intelligent controller development.\n\nImproved readiness for H3 → H2 technology transition.\n\nEnhanced invention disclosure and patent generation pipeline.\n\nFaster evaluation of adaptive multi‑phase architectures and intelligent power delivery strategies.\n\nEqual Opportunity Employer\nVertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com.\n\nWork Authorization\nNo calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F‑1, H‑1, H‑2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.\n\n#J-18808-Ljbffr","datePosted":"2026-06-17T04:17:12.224Z","dateModified":"2026-06-17T04:17:12.224Z","hiringOrganization":{"@type":"Organization","name":"Vertiv","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Delaware","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9b707e22d2f2f47a22eea632"},"url":"https://jobsearcher.com/jobs/9b707e22d2f2f47a22eea632"}}