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Sesto Fiorentino

    Neural Network Model Optimization Intern - Sesto Fiorentino, Italia - Axelera AI B.V.

    Axelera AI B.V.
    Axelera AI B.V. Sesto Fiorentino, Italia

    4 giorni fa

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    Tiroc. Post Laurea
    Descrizione

    Posizione

    Florence office or remote
    Duration: 3 to 4 months starting June 2024
    Start Date: 3rd of June

    Internship Overview:

    As a Neural Network Model Optimization Intern, you will join our dynamic team to enhance the capability of our proprietary accelerators by building a specialized ModelZoo. This project will involve acquiring publicly available neural network models and meticulously optimizing and debugging them for compatibility with the Axelera Software Development Kit (SDK).

    Key Responsibilities:

    Model Acquisition: Identify and procure relevant neural network models from public repositories based on Axelera's market roadmap.

    Optimization: Utilize the Axelera SDK to manually optimize these models for enhanced performance and efficiency on Axelera accelerators.

    Debugging and Testing: Conduct thorough debugging to resolve any issues encountered during the optimization process. Implement rigorous testing routines to ensure models are robust and reliable.

    Documentation: Maintain detailed documentation of optimization strategies, modifications, and performance benchmarks.

    Collaboration: Work closely with software developers and hardware engineers to align model optimization strategies with hardware capabilities and project goals.

    Innovation: Provide innovative ideas and suggestions to improve model performance and integration processes.

    Benefits:

    Opportunity to work with state-of-the-art AI technologies.

    Mentorship from industry experts in AI and accelerator technologies.

    Potential for full-time employment upon successful completion of the internship.

    Caratteristiche del candidato

    Requisiti tecnici e conoscenze informaticheKnowledge in neural networks, machine learning, and artificial intelligence.

    Prior exposure to machine learning frameworks (e.g., TensorFlow, PyTorch).

    Prior exposure to programming languages such as Python or C++. Lingue straniereE' richiesta la conoscenza delle seguenti lingue
  • Inglese: buono (B2-C1)
  • Titoli preferenzialia degree in Computer Science, Electrical Engineering, or a related field
    Area disciplinarescientifico,ingegneriaDisponibilità al trasferimentoNon richiestaDisponibilità trasferimento all'esteroNon richiesta

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