DUTIES: AT&T Services, Inc., is seeking a Senior Inventive Scientist in Dallas, TX [and various work locations throughout the U.S.; may work from home] to research, design, and create highly optimized and real-time distributed software platforms for wireless networks analytics, automation, and SDN virtualized services. Apply extensive technical expertise to new projects and develop technical solutions to complex problems that require the use of ingenuity and creativity. Utilize agile methodology and cloud native architecture to support workflow management, AI, ML models, APIs, complex algorithms, large scale data analytics, and visualization. Provide rapid solutions and network services. Research, analyze, design, and develop highly optimized and distributed application software for wireless network analytics and automation. Work with wireline technologies, networking technologies, and wireless technologies WiFI, 4G, LTE, and 5G technologies. Design and develop large scale systems, provide a novelty of solutions via peer-reviewed research publications and open source software contributions. Analyze large volumes of data. Take project lead role for large scale systems. Find novel ways to insert new technologies into the network. Run the existing network more efficiently, provide high quality customer experience, provide high performance, and save energy. Create opportunities to clean up the network through decommissioning legacy technologies. Apply solid scientific principles for business valuable outcomes.
REQUIREMENTS: Requires a Master’s degree, or foreign equivalent degree, in Electrical Engineering or Computer Science and two (2) years of experience in the job offered or two (2) years of experience in a related occupation researching, analyzing, designing, and developing highly optimized and distributed application software for wireless network analytics and automation; working with wireline technologies, networking technologies, and wireless technologies WiFI, 4G, LTE, and 5G technologies; designing and developing large scale systems, proving a novelty of solutions via peer-reviewed research publications and open source software contributions; and analyzing large volumes of data.