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Bei uns erleben Sie Lernen und berufliche Weiterentwicklung in einer v\u00f6llig neuen Dimension.</p> <p><strong>Gesund leben, gesund arbeiten<br /></strong>Dar\u00fcber hinaus haben Sie Zugang zu Programmen wie unseren kontinuierlichen Lern- und Weiterentwicklungsprogrammen, der Erstattung von Studiengeb\u00fchren und Mentoring, um Ihr grenzenloses Potenzial auszusch\u00f6pfen \u2013 au\u00dferdem haben Sie die M\u00f6glichkeit, Ihre Lebensqualit\u00e4t durch unsere umfassenden, erstklassigen Leistungsangebote zu verbessern .</p> <p>Die Arbeit, die wir bei Qualcomm leisten, hat Auswirkungen auf das Leben rund um den Globus \u2013 und Sie k\u00f6nnen ein Teil davon sein. Bewerben Sie sich noch heute und entfalten Sie Ihr volles Potenzial..</p>"}}}, "customContent": {"positionSections": [{"title": "Unlock Your Limitless Potential with Qualcomm", "body": "<p>Whether you&rsquo;re launching a new career or ready to explore what&rsquo;s next in the evolution of your talent and expertise, you&rsquo;re about to embark on a career growth journey like no other.</p> <p><strong>Bring out your best, with the best<br /></strong>Our employees make Qualcomm&rsquo;s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. 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Oversees technical vision for testing; guides multiple teams through tests, data analysis, and validation of design in alignment with product/technology roadmap; provides oversight on architectural decisions related to multimedia systems-level software, hardware, and/or products across multiple teams. Educates multiple teams on using appropriate tools and analyses; provides guidance to address patterns of issues and implications for work; coordinates multiple teams to address issues. Shares the strategy and goals for solutions; reviews escalated algorithm issues to provide direction, coaching, training, connection with other teams, and additional resources; uses deep and broad technical understanding to review advanced/contextual algorithms, provide implications for work across teams, and triage complex technical issues by generating new solutions and involving others; decide how solutions would be partitioned on the SOC level. Oversees and provides support to teams handling complex data engineering or data management issues for machine learning solutions within a domain. Reviews proposals or roadmaps of various levels of complexity for machine learning solutions; coordinates objectives across multiple teams working on design-related tasks for product proposals within the same department. Provides technical expertise to others within the team regarding experiments to train and evaluate machine learning solutions and communicates progress to key stakeholders. Evaluates topologies against performance, and cost variables and uses the feasibility findings to review the high-level design for multiple products, product families, or technologies; provides guidance, direction, and decision making; reviews the analysis and recommends complex route/topology that should be used to maximize performance, quality, and costs while reducing risks to the schedule and implementation. Acts as an expert resource to others on industry trends, competitors' products, and advances in various engineering fields related to multimedia systems products and technology; writes technical articles and publications; shares solutions and reviews best practices from open-source community; shares expertise within and/or across the department. Leverages deep technical expertise across domains to identify trends and define future solutions by contributing to discussions on the short- and long-term strategic direction of the product/technology roadmaps. Reinforces technical conversations across the department; resolves design and technical issues related to technical area of expertise; supports multiple teams in documenting technical and/or overall system issues; participates in patent application reviews. Master's degree or Ph.D. in Computer Science, Electrical Engineering, or related field. 14+ years of Systems Engineering or related work experience. 2+ years of experience working in one or more multimedia technology areas (i.e., speech, audio, imaging, computer vision, display, sensing, biometrics, augmented/virtual reality).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://careers.qualcomm.com/careers/job/446704853800", "isPrivate": false, "latlongs": "37.3541079,-121.9552356"}], "isFallback": true, "debug": {}, "count": 1, "personal_message": "We thought you would be interested in this position.", "scheduling": {"minTime": 9, "limit": 10, "maxTime": 17, "increments": 60, "minTimeslots": 3}, "userTitles": [], "enableTargetedResume": 0, "query": {"query": "", "location": "", "department": [], "skill": [], "seniority": [], "pid": "446704853800"}, "singleview": true, "see_all_jobs": true, "recommended_star_threshold": 4.0, "chatbot": false, "iframeImplementation": null, "pcsApplyFormV2Enabled": false, "isPcsBrandingApril2023Enabled": false, "allowedFileTypes": {}, "pcsTextConfiguration": {}, "hideDepartment": null, "pcsOctupleMigration0Enabled": true, "pcsOctupleMigration1Enabled": false, "replaceUrlOnGoBack": true, "pcsRedesignedNuxEnabled": true, "readmoreInstructionEnabled": false, "userActivityTimeout": 86400000, "userActivityTimeoutEnabled": 1, "isLoggedInPcsEnabled": false, "sortByConfig": null, "searchBoxConfig": {}, "excludePrivatePositions": true, "eeocFilterKeywords": ["veteran", "disability", "gender", "race", "citizen", "visa", "ethnicity"], "disableScrollLoadPositionSidebar": false, "locationFlexibilityFrontendEnabled": false, "workLocationOptionFrontendEnabled": false, "remoteFlexibleJobsFilterEnabled": false, "loggedOutNotificationsEnabled": true, "candidateLogin": {}, "prepopulateApplyFormEnabled": true, "prepopulateSettings": {"prepopulateCheckboxText": "Save my answers for future applications", "showPrepopulateCheckbox": false}, "candidateBuildProfile": {}, "enhancementsEnabled": false, "themeBuilderUser": null, "mandatoryFields": ["firstname", "lastname", "email", "phone"], "blindfoldWidgetPcsGate": false, "pcsApplyFormLocationGate": false, "t3sEnabled": false, "uploadApplicationAnswers": false, "candidateAuthV2Enabled": true, "preApplicationSubmitAuthEnabled": false, "applyFormV2Enabled": false, "loggedOutSavedSearchEnabled": false, "locationRadiusTypeToggleEnabled": true, "incompleteApplicationsEnabled": false, "incompleteApplicationConfig": {}, "fallbackPcsJdGate": true, "enableResumeCoach": false, "isPcsEnabled": true, "applicationInfoReviewEnabled": false, "phoneWithCountryCodeEnabled": true, "phoneWithCountryCodeJTNEnabled": false, "notificationSuggestVerificationToken": null, "cookiesAutoDisabled": false, "strictEmailValidationEnabled": true, "chatbotxConfig": {"enabled": false, "featureAccessFlags": {"resumeCoachCardFlags": {"showApplyWithResume": true, "showEditResume": true}, "positionCardFlags": {"showAddToJobCart": true}}}, "pcsOptionalResumeWithJobcartGate": false, "loggedInCandidate": {}, "hamburgerMenuEnabled": false, "sharedTalentPoolGate": false, "pcsAccessibilityHomeEnabled": true, "pcsAccessibilityApplyFormEnabled": true, "showLanguageDropdown": true, "languages": [{"value": "en", "title": "English"}, {"value": "de", "title": "Deutsch"}, {"value": "zh-CN", "title": "\u4e2d\u6587 (\u7b80\u4f53)"}], "displayLanguage": "en", "installed_app_data": [], "singlePageCareersNavbarGate": false, "customJobDescTranslationSkipList": [], "all_applicable_locations": [{"location": "Santa Clara, California, United States of America", "city": "Santa Clara", "state": "CA,US", "country": "US"}]}