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    Solution Architect - Jackson, United States - Aijobs

    Aijobs
    Aijobs Jackson, United States

    1 week ago

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    Description


    NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms.

    In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in Analytics and artificial intelligence.

    We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions.

    We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

    You will be working with the latest HPC architectures coupled with machine learning and Big Data analytics, enabling improved workflows and developing new, differentiated solutions.

    As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers.

    Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers in order to evangelize accelerated computing.

    Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.


    What You'll Be Doing:
    Develop and demonstrate solutions based on NVIDIA's state-of-the-art ML/DL, data science software and hardware technologies to customers
    Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems
    Work directly with key customers to understand their technology and provide the best solutions
    Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations
    Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.
    Work closely with customer's data science and IT teams

    What We Need to See:
    Excellent verbal, written communication, and technical presentation skills in English and French
    MS/PhD in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields
    5+ years work or research experience with Python, C++ software development

    A proven track record of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

    Work experience and knowledge with AI/ML/DL on CV/NLP/Analytics projects using TensorFlow, PyTorch, MxNet, Pandas, XGBoost and/or Scikit-learn.
    You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)
    Capable of working in a rapidly changing environment without losing focus.
    Ability to multitask effectively in a fast-paced environment.
    Action-oriented with strong analytical and problem-solving skills.
    Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects
    You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team

    Ways to Stand Out from The Crowd:
    Development background with NVIDIA software libraries and GPUs, and CUDA optimization experience.
    Experience applying DL/ML in Finance, Consumer Internet Service Companies (CRISP) or Cloud Service Providers (CSP)
    Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

    Background with special skills in large-scale computing and cluster computing (MPI), data center design include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.

    #J-18808-Ljbffr
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