Job Description
Description
At Xilinx, we are leading the industry transformation to build an adaptable, intelligent world. ARE YOU bold, collaborative, and creative? At Xilinx, we hire and 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 start, 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 enhance people's lives.
If you are PASSIONATE, ADAPTABLE, and INNOVATIVE, Xilinx is the right place for you! At Xilinx we care deeply about creating meaningful development experiences while building a strong sense of belonging and connection. We foster 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.
ROLE:
We are recruiting an outstanding intern to join the architecture team based in our Engineering Centre in Dublin, Ireland.
The team’s architecture and systems activities cover a wide range of disciplines including machine learning for data center (HPC) and embedded computing (e.g., automotive ADAS) applications; digital signal processing (DSP); specification, modelling and analysis of modern heterogeneous parallel architectures.
Requirements:- MS/BS Degree in Computer Science, Electrical Engineering or related field
- Strong C/C++ programming experience
- Strong scripting skills (e.g., shell/python)
- Understanding of computer architectures and real-time computing
- Strong communication skills, verbal and written
- Strong analytical skills
Experience in the following areas would be beneficial: - Programming modern parallel architectures
- Background in AI/machine learning and digital signal processing algorithms
Education Requirements
MS/BS Degree in Computer Science, Electrical Engineering or related field
