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In 2018 Xilinx announced a new class of computing technology called ‘Versal’. One of the innovations in this device is the integration of a multi-core array of VLIW processors.
Xilinx is seeking an engineer to join our R&D team developing machine learning technology for the Versal platform. The position will have a focus on the tool chain that enables programming the Versal platform from machine learning frameworks such as TensorFlow.
Experience with Tensorflow and other machine learning frameworks, expert level python programming and C/C++ experience is a requirement.
A strong knowledge of machine learning network architecture and capability to analyze compute complexity of these networks is important for the position.
– the candidate would have skills in several, but not necessarily all, of the following:
- Expert level python programming
- Strong knowledge of linear algebra
- Experience with machine learning algorithms, deep convolutional neural networks (DCCN)
- Experience with TensorFlow or other similar frameworks
- Good written and verbal communication skills