Xilinx develops highly flexible and adaptive processing platforms that enable rapid innovation across a variety of technologies - from the endpoint to the edge to the cloud. Xilinx is the inventor of the FPGA, hardware programmable SoCs and the ACAP (Adaptive Compute Acceleration Platform), designed to deliver the most dynamic processor technology in the industry and enable the adaptable, intelligent and connected world of the future in a multitude of markets including Data Center (Compute, Storage and Networking); Wireless/5G and Wired Communications; Automotive/ADAS; Emulation & Prototyping; Aerospace & Defense; Industrial Scientific & Medical, and others. Xilinx's core strengths simultaneously address major industry trends including the explosion of data, heterogeneous computing after Moore's Law, and the dawn of artificial intelligence (AI).
Our global team is growing and we are looking for bold, collaborative and creative people to help us lead the industry transformation to build an adaptable intelligent world. We believe that by embracing diverse ideas, striving for excellence in all that we do, and working together as a unified team, we can accomplish anything. Come do your best work and live your best life as part of the ONEXILINX team!
You will be helping Xilinx characterize and reduce power consumption of widely used device applications as a means to improve power efficiency of our product. This job entails hands-on development and analysis of hardware designs as well as analyzing associated software databases for a variety of common applications for trends and tendencies in power expenditure within our hardware products and then theorize and validate methods to improve the power efficiency.
Some of the specific tasks that are a part of this job include:
Build test application circuits using our Vivado tool suite to allow self-stimulus hardware implementation for power measurement
Measure and collect power data for an operating circuit under different clocking and stimulus operating parameters
Develop a method to parse several ASCII data files as a means to organize the data for analysis
Analyze collected results to postulate modifications to improve power efficiency
Quantify the proposed improvements through software and hardware means
3rd- or 4th-year Undergraduate or Graduate Student in Electrical Engineering or Computer Engineering/Science
Experience using a scripting or programming language (parsing and analyzing database files)
Experience using Hardware Description Languages such as VHDL or Verilog
Experience with Xilinx Vivado (desired but not required)
User-level experience with Linux and Windows
Self-driven and goal-oriented to provide project deliverables on schedule
Ability to work well independently and within a team environment