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.
Xilinx Inc., is seeking an experienced DevOps engineer to join the DevOps Infrastructure team that supports global Xilinx engineering efforts across different geographical locations. The DevOps Infrastructure team's primary objective is to provide a highly productive, best-in-class development environment that supports the engineering activities of employees across multiple sites worldwide. This role will be responsible for providing innovative solutions for scalable infrastructure demands
BS in Computer Science, Computer Engineering, Electrical Engineering or a related field with 5+ years of relevant industry experience or MS in Computer Science, Computer Engineering, Electrical Engineering or a related equivalent field with 3+ .years of relevant industry experience.