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!
The Data Scientist, reporting to the Senior Director of Data Analytics in the Global Operations and Quality Division, will analyze large data sets from semiconductor manufacturing process and product data to identify sources of issues or opportunities for improvement
Design and implement effective data parsing and acquisition using Big Data processing methodology
Select, refine and develop features and algorithms for machine learning and deep learning techniques to solve various problems in semiconductor manufacturing and supplier chain environment.
Define and execute data collection and cleaning procedures
Perform adhoc analysis deliver clear presentations
Design, test, review, and monitor performance of algorithms in a team and shared ownership environment
Develop software tools and implement automation for data management, visualization, and advanced analytics
Graduate degree in Computer Science, Electrical Engineering, Applied Math, or other related STEM majors with machine learning and algorithms development experience
12 years industry experience
Extensive knowledge about the details of the algorithm used in Machine learning.
Experienced in building large scale data analysis system.
Extensive knowledge and experience in successfully developing and implementing Machine Learning projects
Familiar with Python, PHP, R, HTML, CSS, SQL, MongoDB, Apache Hadoop, Spark and AWS
Good written/verbal presentation and communication skills
Strong project management and leadership skills