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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 signal processors that are programmed in C/C++. These processors are called ‘AI Engines’.
Xilinx is seeking a design engineer to join our R&D team developing solutions for machine learning and Data Center acceleration. This is an opportunity to be on the ground-floor for the development of new hardware and software technology for accelerating data center workloads with a particular emphasis on all categories of machine learning. You will be in a team that is architecting hardware and software for next generation machine learning applications.
Experience with FPGA design flows, FPGA architecture, system design, system integration, DDR memory interfaces and realizing high-performance FPGA-optimized designs and verification methodologies are some of the skills that we are looking for.
Experience implementing digital signal processing algorithms, for example linear algebra functions, FFTs and arithmetic functions employed in machine learning algorithms would be beneficial.
Education level – Masters or PhD preferred
Skills – the candidate would have skills in the following areas
Machine learning network architectures
FPGA design flow
Verilog and/or VHDL
Scripting languages such as python and tcl
Knowledge of machine learning datapath architecture would be beneficial