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    AI Frameworks Engineer - Essen, Deutschland - European Recruitment

    European Recruitment
    European Recruitment Essen, Deutschland

    vor 6 Tagen

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    Beschreibung

    Are you a software engineer with a background in AI frameworks and compilers that is looking for a new role at an exciting and highly funded AI and machine learning start up?

    At European Recruitment we are currently working alongside a high growth series C startup being funded by the likes of BMW, Bosch and Continental, helping them to bring on board an AI frameworks engineer with a focus on compilers and machine learning systems.

    Responsibilities:

    • Architect and shape our SDK software stack, allowing developers to deploy state-of-the-art generative AI models (LLMs, stable diffusion, ...) to our hardware. Your focus area will be the deep learning compiler frontend and the graph intermediate representation (IR).
    • Closely collaborate with our compiler team to design an API that enables developers to manually optimize algorithms on our hardware.
    • Deeply analyze state-of-the-art AI networks and optimize them for the accelerator by implementing hardware-specific kernels.
    • Build the SW infrastructure around shading and collectives that lets developers seamlessly deploy large deep learning models for distributed inference.
    • Collaborate closely with AI scientists to investigate the most recent advances in machine learning, analyze their runtime on our hardware, and contribute to the hardware-software co-design of our next generation.

    Qualifications:

    • 4+ years of relevant software engineering experience.
    • Proven proficiency in Python and ideally C++.
    • Experience in AI training/inference framework development OR familiarity with the export mechanisms, operator sets, and intermediate representations of popular ML frameworks such as PyTorch.
    • (Preferred) Experience in optimizing ML systems based on runtime analyses of latency, memory bandwidth, I/O access, and compute utilization.
    • (Preferred) A good understanding of and ideally experience with high performance distributed computing.
    • (Preferred) Experience with MLIR, LLVM, IREE, XLA, TVM, or Halide is a plus.
    • (Preferred) Knowledge of GPU, CPU, or AI hardware accelerator architectures.

    If interested in this role please apply here or send your email direct to -

    By applying to this role, you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-).

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