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    Software Embedded Engineering Architect - Austin, TX, United States - Dell

    Dell
    Dell Austin, TX, United States

    2 weeks ago

    Dell background
    Description
    Software Embedded Engineering Architect

    In the rapidly moving Artificial Intelligence era, few spaces are moving faster than the AI-enabled PC.

    As a leading provider of world-class technology, this means bringing more intelligence into the PC ecosystem, enabling superior performance, enhanced productivity, and delightful experiences while maintaining privacy and security.

    We're developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem.

    What's more, we are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience.

    Join us to do the best work of your career and make a profound social impact as a Software Embedded Engineering Architect on our Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures Team in Austin, Texas .

    As a Software Embedded Engineering Architect, you'll gain experience as an embedded software architect with strong data science skills and have the opportunity to develop and deliver enterprise-grade Artificial Intelligence (AI) and Machine Learning (ML) solutions across the client devices portfolio.

    In this role, you will be responsible for working closely with other technologists, architects, experienced design engineers, product marketing, and software engineers to train and deploy AI-enabled solutions for millions of end users and internal stakeholders.

    Guide teams of HW & SW engineers, data scientists, and data engineers to deliver the complete life cycle of complex AI/ML solutions on client devices as well as architect AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
    Collaborate with engineering and operations teams to architect and develop data pipelines spanning the client ecosystem, both on and off device as well as collaborate across organizations, with engineering and operations teams to integrate and deploy ML solutions across client devices with cloud integration
    Participate with PC business units to synthesize business questions and translate them into architecture
    Deliver experiences using data, advocate and execute strategies to adopt data and data science in all business and architectural resolutions
    Provide AI-enabled concepts by working with marketing and engineering teams to define, plan, and develop a product roadmap

    Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 12 years, MS + 8 years, Ph.

    Advanced experience with development in the Microsoft (MS) Windows OS including with client SDKs including MS DirectML, WinML, and MS Graph as well as with embedded device development in RTOS environments
    Progressive knowledge of AI / ML algorithms using C, C++, and Microsoft C#/.NET to deliver implementations as well as in AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments as well as advanced experience with Deep Learning libraries and runtimes such as PyTorch, Tensor Flow, TensorRT, and nuances of their application in end-user ecosystems
    Evidence of leadership skills in software development, data science organizations, or other cross-functional teams

    Experience working with cloud-based applications in Azure as well as guiding teams across multiple programs and interacting across organizations
    Know-how of development in PC BIOS / UEFI, embedded controllers, management engine, or other firmware environments and experience working with Open Neural Network Exchange (ONNX) models, the ONNX run time (ORT), and Execution Provider (EP) development as well as advanced use of hardware vendor toolchains such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software

    If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.

    Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live, and play


    Application closing date:
    19 April 2024
    Read the full Equal Employment Opportunity Policy here.
    Dell's Flexible & Hybrid Work Culture

    We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way.

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