{"isCandidateLoggedIn": false, "isProfileRegistered": false, "isAllowedForRegistration": true, "registrationNotAllowedReason": null, "candidateLoginMandatory": false, "eventData": {"name": "2026 Campus Visits: Building On\u2011Device AI at Qualcomm Tech Talk & Graduate\u2011Level Hiring Information Session", "groupId": "qualcomm.com", "plannedEventEncId": "xJlpG28qw", "createdByName": "Brian Millado", "institution": "", "venue": "Across Different Universities", "address": "", "description": "<h3><em>Interested in building Generative AI and agentic AI systems that run directly on real devices and exploring full\u2011time machine learning roles after graduation?</em></h3><div><br></div><div>Join engineers and researchers from <strong>Qualcomm</strong> for an in\u2011person tech talk and information session focused on how on\u2011device machine learning is designed, optimized, and deployed at scale.</div><div>Qualcomm teams work at the intersection of <strong>AI research, ML systems, and specialized hardware</strong>, translating advanced ideas into real products used by millions of people worldwide across smartphones, automotive platforms, XR, IoT, and edge devices.</div><div><br></div><div><strong>What We\u2019ll Cover</strong></div><div>This session will include a technical discussion on topics such as:</div><ul><li>On\u2011device Generative AI and agentic AI workflows</li><li>Hardware\u2011aware machine learning and model optimization</li><li>Systems\u2011level tradeoffs in building efficient, responsive, and privacy\u2011preserving AI</li><li>How research and engineering teams collaborate to move ideas from the lab into production</li></ul><div>We\u2019ll also share how these capabilities show up in real products and platforms today.</div><div><br></div><div><strong>Graduate\u2011Level Hiring at Qualcomm</strong></div><div>Qualcomm is actively hiring <strong>graduate\u2011level talent</strong> in machine learning, ML systems, and AI research.</div><div>The session will include an overview of current and upcoming opportunities for:</div><ul><li>MS and PhD students nearing graduation</li><li>Postdocs and recent alumni</li></ul><div><br></div><div><strong>We\u2019ll walk through:</strong></div><ul><li>The types of teams that are hiring</li><li>The kinds of technical problems they work on</li><li>How different academic and technical backgrounds map to open roles</li></ul><div><br></div><div>You\u2019ll also hear directly from engineers, researchers, and members of the recruiting team.</div><div><br></div><div><strong>Who Should Attend</strong></div><ul><li>MS and PhD students nearing graduation</li><li>Postdocs and recent alumni</li><li>Students interested in applied ML, Generative AI, ML systems, embedded software, or AI research</li><li>Faculty and lab members working in ML\u2011related areas</li></ul><div><br></div><div><strong>Why Attend</strong></div><ul><li>Learn how on\u2011device AI is built and shipped in real products</li><li>Hear directly from teams actively hiring ML talent</li><li>Understand how applied ML, systems, and research roles differ in practice</li><li>Ask questions about technical work, teams, and the hiring process at Qualcomm</li><li>There will be time for Q&amp;A and open discussion at the end of the session.</li></ul>", "eventLocationType": "in_person", "completeVenue": "Across Different Universities", "when": "past", "eventSessionsJson": {}, "selectedTimezone": "America/Los_Angeles", "startTimestamp": 1775088000, "endTimestamp": 1778209200, "eventDateAndTime": "Apr 01 - 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