Description
At Xilinx, we are leading the industry transformation to build an adaptable, intelligent world. ARE YOU bold, collaborative, and creative? We develop leaders and innovators who want to revolutionize the world of technology. We believe that by embracing diverse ideas, pushing boundaries, and working together as ONEXILINX, anything is possible.
Our culture of innovation began with the invention of the Field Programmable Gate Array (FPGA), and with the 2018 introduction of our Adaptive Compute Acceleration Platform (ACAP), has made a quantum leap in capability, solidifying our role as the adaptable platform supplier of choice. From the beginning, we have always believed in providing inventors with products and platforms that are infinitely adaptable. From self-driving cars, to world-record genome processing, to AI and big data, to the world's first 5G networks, we empower the world's builders and visionaries whose ideas solve every day problems and improve people's lives.
If you are PASSIONATE, ADAPTABLE, and INNOVATIVE, Xilinx is the right place for you! At Xilinx, we care deeply about creating significant development experiences while building a strong sense of belonging and connection. We champion an environment of empowered learning, wellness, community engagement, and recognition, so you can focus on work that matters - world class technology that improves the way we live and work. We are ONEXILINX.
We are looking for an intern pursing a master's or PhD in Electrical and Computer Engineering to conduct research and development of novel multi-threaded placement/physical synthesis and optimization techniques for next generation FPGAs. Evaluate new FPGA architecture features and its impact on existing implementation tools.
Education Requirements
Only students currently pursuing a masters or PhD in Electrical and Computer Engineering or related field will be considered for this position
Expertise in C++, object oriented design, algorithms
Solid foundation in data structures and software engineering with strong analytical and debugging skills
Experience in Python, TCL and other equivalent language
Duration of the internship is 4 months, full time (40hr/wk)
Expected start date is between April-June 2021