• Rousset
  • Publier le il y a 2 ans
  • Vue: 3
  • Annonce N° : 74814

Detail de l'annonce :

COMPANY DESCRIPTION Microchip Technology Inc. is a leading provider of embedded control applications. Our product portfolio comprises general purpose and specialized 8-bit, 16-bit, and 32-bit microcontrollers, 32-bit microprocessors, field-programmable gate array (FPGA) products, a broad spectrum of high-performance linear, mixed-signal, power management, thermal management, radio frequency (RF), timing, safety, security, wired connectivity and wireless connectivity devices, as well as serial Electrically Erasable Programmable Read Only Memory (EEPROM), Serial Flash memories, Parallel Flash memories, and serial Static Random Access Memory (SRAM). We also license Flash-IP solutions that are incorporated in a broad range of products. JOB DESCRIPTION ::This position will be focused on artificial intelligence/machine learning (AI/ML). The candidate will use an existing project with a pre-trained image classification model, then create and train his own model and optimize its neural network to minimize prediction error rates. Subsequently, the candidate will create and train a new model of voice recognition. These models must be converted to the Tensorflow Lite format to be loaded and tested on our SAMA5D2 and SAMA7G5 microcontrollers. In addition, the candidate will create a demo and a presentation on AI/ML for MPU as following: * Define prerequisites * HW * SW * Prepare SD card linux image * Set required drivers for the demo * Compile the kernel * Bulld linux image distribution with Buildroot tool JOB REQUIREMENTS Final year / Master student in Automatics, Computer Science, Electronics, Telecommunications or equivalent Knowledge and expertise working on Linux-based systems designs. C/C++ Software experience. Scripting language knowledge (BASH, Python, etc.) Knowledge of electronics fundamentals Ability to work in a team environment. Good knowledge of English and good communications skills

Annonceur :  Microchip Technology

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