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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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Proficiency in using tools for debugging and profiling GPU/NPU code. Strong communication skills to collaborate with hardware engineers and communicate complex technical concepts effectively. Expertise in at least one of the following areas DSP software development and algorithm implementation: Proficiency in designing and implementing algorithms for Digital Signal Processing (DSP) in software. OpenCL programming and debugging: Experience in programming and debugging using OpenCL, particularly for parallel computing applications. Performance profiling and optimization for parallel computing: Strong understanding and practical experience in profiling and optimizing performance for parallel computing tasks. Image processing, computer vision, and object/face detection specifically: Expertise in image processing, computer vision techniques, and specialized knowledge in object/face detection methodologies. Understanding compiler technology: Familiarity with ML compilers such as TVM/Glow/XLA, as well as experience in LLVM/GCC backend development, optimization analysis, and implementation is highly advantageous. AI experience: Knowledge of Deep Learning/CNN fundamentals, proficiency in training neural networks to solve real-world problems, and familiarity with frameworks like TensorFlow/PyTorch are considered strong assets for this role. Enthusiasm in machine learning technology. Hand-on experience in design/implementation of deep learning networks via modern frameworks, including TensorFlow, Pytorch, etc. Ability to quickly learn new technologies and work on resolving customer reported technical problems during mobile or wireless communication product development cycles. Excellent analytical, problem solving and Communication skills and willingness to work with customers Please review the Internal Applicant Guidelines for more details on the internal applicant process, as there could be impacts to title, pay, and/or immigration processes. Distributing internal contact information to external applicants is prohibited. Master's degree in Computer Science, Electrical Engineering, or related field. Proficiency in programming languages such as C, C++, or Python. Strong knowledge of Object-Oriented Programming, data structures, algorithms and operating system. Self-motivated and capable of working independently with minimal oversight. Ability to communicate technical concepts effectively and work collaboratively within cross-functional teams. Bachelor's degree in Computer Science, Electrical Engineering, or a related field. Proficiency in languages like C++, CUDA, or OpenCL for GPU programming. Understanding of GPU/DSP/NPU architectures and parallel programming concepts. Familiarity with embedded systems and constraints related to edge devices. Experience in low-level programming for efficient hardware utilization. Knowledge of optimizing algorithms and libraries for GPU/DSP/NPU execution. Ability to analyze and optimize performance bottlenecks in GPU/NPU code. Proficiency with version control systems like Git and software development tools like Gerrit and JIRA. Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch for DSP/GPU/NPU integration. Understanding of mainstream ML runtime frameworks formats and their runtime environments. Experience in optimizing code specifically for different DSP/GPU/NPU architectures. Understanding of machine learning and deep learning concepts for efficient utilization of hardware. Proven experience in fine-tuning performance-critical applications on edge devices. Knowledge of hardware-software co-design principles for edge devices. Proficiency in using tools for debugging and profiling GPU/NPU code. Strong communication skills to collaborate with hardware engineers and communicate complex technical concepts effectively. Expertise in at least one of the following areas Ability to quickly learn new technologies and work on resolving customer reported technical problems during mobile or wireless communication product development cycles. Deliver high-quality code working with open-source software communities. Deliver high-quality code working with open-source software communities. Performance profiling and optimization for parallel computing: Strong understanding and practical experience in profiling and optimizing performance for parallel computing tasks.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://careers.qualcomm.com/careers/job/446703849761", "isPrivate": false, "latlongs": "25.0329636,121.5654268"}], "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": "446703849761"}, "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": []}