Design Engineering Intern
Based in our Engineering Centre in Dublin, Ireland, we are recruiting outstanding interns to join a team whose 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.
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!
- 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