Fujitsu Laboratories of America (FLA) is a wholly owned subsidiary of Fujitsu Laboratories Ltd., Fujitsu's Research and Development Division...
Fujitsu Laboratories of America (FLA) is a wholly owned subsidiary of Fujitsu Laboratories Ltd., Fujitsu's Research and Development Division. Our corporate headquarters is in Sunnyvale, California. We innovate and develop real-world technologies that impact a broad range of industries, and our visionary scientists work to create and unfold new and improved technologies.
Globally, Fujitsu Laboratories has a rich history spanning over 50 years in cutting-edge innovation and research, supporting the global Fujitsu Group's brand promise, "Shaping tomorrow with you." From the first relay-based mainframe to the prototype of Fugaku, one of the fastest supercomputers (developed with RIKEN), Fujitsu has led the way in advanced information and communications technology (ICT) research. Our future R&D strategy and vision center around co-creation with our customers to solve their Digital Transformation (DX) challenges by applying our ground-breaking digital technologies.
At FLA, our research areas cover a range of topics including artificial intelligence, software engineering, cyber security, blockchain, and next-generation computer systems. We leverage our presence in the Silicon Valley" to collaborate closely with universities and other research institutes.
We are soliciting applications from qualified candidates, for the position of Member of Research Staff, in the Artificial Intelligence Laboratory, located at FLA's Sunnyvale campus. The researcher would conduct cutting-edge research and develop practical industrial solutions at the intersection of software engineering and data science.
Exceptional candidates with a PhD in Computer Science, Electrical Engineering, or related disciplines, are encouraged to apply. The position requires a candidate with a strong background in software engineering and program analysis. Relevant research experience in the areas of machine learning, artificial intelligence, natural language processing, compiler design, and formal methods would be a plus, but not required.