Machine Learning and AI Compiler and Frameworks Engineer
hace 2 días

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Your responsibilities will include :

  • Developing a deep learning compiler stack that takes neural network descriptions (CNNs / RNNs) created in frameworks such as Caffe, PyTorch, TensorFlow, etc.
  • and converts them into code suitable for execution on special-purpose and embedded platforms

  • Developing optimized implementations of a variety of neural-network operations and integrating them into a runtime framework
  • Developing new optimization techniques and algorithms to efficiently map CNNs onto a wide range of Tensilica Xtensa processors and specialized HW
  • Benchmarking end-to-end network performance on a variety of DSP and special-purpose accelerator platforms
  • Enhancing the framework to improve overall functionality and performance on the various hardware platforms
  • Devising multiprocessor / multicore partitioning and scheduling strategies
  • Developing complex programs to validate the functionality and performance of the CNN application programming kit
  • Working with hardware designers to identify opportunities for additional hardware acceleration of neural network functions
  • Working with industry-leading partners and customers to design and standardize neural network APIs
  • Required and desired qualifications :

  • A high level of C and C++ programming expertise with 3-5+ years of experience is required; Python experience highly desired
  • Expertise in software development on Linux and Windows systems including, test, debug and release is required
  • 3-5+ years of experience working on a production compiler is highly desired
  • Prior work with CNNs and familiarity with deep learning frameworks (TensorFlow, Caffe / 2, etc.) is a strong plus
  • Knowledge of and experience with a state-of-the-art compiler stack such as LLVM is highly desired
  • Experience programming and optimizing for embedded platforms such as DSPs with DMA engines highly desired
  • Experience implementing compilation techniques such loop optimization, polyhedral models, and IR construction / transition / lowering techniques is desired
  • Familiarity with the state-of-the-art deep learning compilation approaches (XLA, Glow, etc.) is a plus
  • Familiarity with various deep learning networks and their applications (Classification / Segmentation / Object Detection / RNNs) is a plus
  • Knowledge of neural net exchange formats (ONNX, NNEF) is a plus
  • Familiarity with Android system programming and the Android Neural Network API (NNAPI) is a plus
  • We’re doing work that matters. Help us solve what others can’t.

    Reportar esta oferta

    Thank you for reporting this job!

    Your feedback will help us improve the quality of our services.

    Mi Correo Electrónico
    Al hacer clic en la opción "Continuar", doy mi consentimiento para que neuvoo procese mis datos de conformidad con lo establecido en su Política de privacidad . Puedo darme de baja o retirar mi autorización en cualquier momento.
    Formulario de postulación