Information Sciences Institute (ISI), a unit of USCâs Viterbi School of Engineering, is a world leader in the research and development of advanced information processing, computing, and communications technologies. ISI operates one of the worldâs largest academic high-performance computing clusters. ISI has three research campuses:Â one in Marina Del Rey, CA; one in Arlington, VA; and one in Waltham, MA.
*This position is located in Arlington, VA.*
The Reconfigurable Computing Group at the University of Southern Californiaâs Information Sciences Institute is a long-time pioneer of research investigating Field Programmable Gate Arrays. Spanning the days of homogeneous logic devices to todayâs billion transistor System on Chip devices, RCG has led the way from being the first to implement application level partial runtime reconfiguration, investigating 3D FPGA architectures, developing Autonomous System on Chip architectures, releasing open source CAD tools which target real physical devices, IP to address software / hardware co-design complexity and continues today with research ranging from developing programming models for next generation industry devices to conducting experiments on the International Space Station. Today, RCG is addressing our nationâs challenges in big data, hardware cybersecurity, trusted systems, cognitive radio and more.
USC/ISI is looking for highly talented, motivated researchers to lead and impact state of the art research and development in the areas of Machine Learning (ML) and Reconfigurable Computing. This position will lead research in algorithm development for custom ML tools which target FPGA and ASIC front end design. These tools solve challenging problems in algorithm development of Machine Learning architectures targeting FPGA and ASIC platforms, including embedded and cloud FPGA-based systems.Â The position will also investigate hardware security, high level abstraction for hardware design, and machine learning acceleration for critical systems.Â Realize effectiveness of solutions on physical FPGAs and custom ASIC fabrication. Lead research, propose major innovations, collaborate with peers within the group and across ISI, publish results in top tier conferences, and contribute to or lead proposals.
This position requires access to sensitive data such as Controlled Unclassified Information (CUI). According to U.S. government regulations, ONLY U.S. citizens are eligible for access to CUI.
PhD in Computer Engineering, Electrical Engineering, or Computer Science with expertise in Machine Learning algorithms and computer architectures targeting FPGAs or ASICs.
Previous publication, patents, or other displays of innovation in machine learning with FPGAs, such as Convolutional Neural Networks, LSTMs, and Transformers.
Expertise with Machine Learning Toolkits, such as PyTorch, Keras, and TensorFlow
Experience with Xilinx or Intel FPGA High-Level Synthesis tools.
Five years of experience designing, developing, implementing, and debugging Machine Learning applications for FPGAs, including Xilinx Virtex7 or newer architectures.Â Experience with Intel and Stratix-10 devices also desirable.
Five years of Python and C++/Java development experience, including contributions to large-scale software projects, commercial or open-source.
Training and Inference with publicly available models (ResNet, VGG) and the development of custom models targeting FPGAs.
Use of FPGA-based Cloud Environments, such as Amazon AWS F1, Nimbix Cloud, Azure Cloud, Xilinx Alveo Accelerators.
Proficiency in software cross-compiling and cross-debugging.
Experience with multi-processor system-on-chip, embedded systems software (Linux, cross-compilers) and Python productivity for FPGAs (i.e. Pynq).
Experience leading or contributing to proposals a significant plus.
The University of Southern California values diversity and is committed to equal opportunity in employment.
Minimum Education: Master's degree, Combined experience/education as substitute for minimum educationMinimum Experience: 3 yearsMinimum Field of Expertise: Knowledge of research processes and computer science.
Internal Number: REQ20086105
USC is the leading private research university in Los Angeles—a global center for arts, technology and international business. With more than 47,500 students, we are located primarily in Los Angeles but also in various US and global satellite locations. As the largest private employer in Los Angeles, responsible for $8 billion annually in economic activity in the region, we offer the opportunity to work in a dynamic and diverse environment, in careers that span a broad spectrum of talents and skills across a variety of academic and professional schools and administrative units. As a USC employee and member of the Trojan Family—the faculty, staff, students, and alumni who make USC a great place to work—you will enjoy excellent benefits, including a variety of well-being programs designed to help individuals achieve work-life balance.