Requisition ID: P01475512
Department: Information Sciences Institute
Employment Type: Full-Time
Location: Arlington Virginia
The University of Southern California (USC), founded in 1880, is located in the heart of downtown L.A. and is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the "Trojan Family," which is comprised of the faculty, students and staff that make the university what it is.
This position is located in Arlington, VA
Information Sciences Institute (ISI), part of the Viterbi School of Engineering at USC, is looking for highly talented, motivated researchers to lead and impact state-of-the-art research and development in the area of reconfigurable computing. The Reconfigurable Computing Group (RCG) is a pioneer of research related to field programmable gate arrays (FPGAs) including architecture, tools, applications, hardware trust, and security. It works closely with leading agencies such as DARPA, IARPA, and NASA where reconfigurable computing is a critical technology. Spanning the days of homogeneous logic devices to today's billion transistor system on a 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 that target real physical devices, and IP to address software/hardware co-design complexity.
Today, RCG is addressing our nation's challenges in hardware cybersecurity, trusted systems, space-based systems, and more. This position will lead the research and technical direction of our reliability research. Lead the investigation of reliability effects and their system-level impact. Architect, design, and lead experiments utilizing specialized tools and techniques to investigate reliability of sub 20nm devices. Model and project reliability trends of future lithography nodes and 3D solutions. Research and develop fault mitigation approaches. Realize effectiveness of solutions on physical FPGAs and custom ASIC devices. 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.
- Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Only US citizens are eligible for a security clearance.
- PhD or equivalent experience in Electrical Engineering or Computer Engineering with experience VLSI reliability.
- Expert level Knowledge of reliability fundamentals and reliability analysis (life predictions, product life modeling, root cause analysis, environmental testing, accelerated life testing, etc.) and ability to translate to the device level required.
- Strong background and experience in VLSI, reliability, fault tolerance, 3D ICs, hardware trust, or hardware security required.
- Experience with FIB, EM probing, and other failure analysis techniques a plus.
- Adept in statistical data analysis and design of reliability experiments.
- 5 years or more experience in TCAD, SPICE, and model generation.
- 5 years of more experience in cross-layer modeling and simulation of circuit reliability.
- Proficiency in hardware development in VHDL or Verilog, or SystemC or SystemVerilog.
- Familiar with reliability data analysis software, e.g. JMP, Minitab, and /or Weibull++ package.
- Previous publications, patents, or innovations related to VLSI reliability analysis and fault mitigation required.
- Familiar with Xilinx or Altera implementation tools.
- Problem solving experience in a multidisciplinary environment with engineers and scientists.
- Experience leading or contributing to proposals a significant plus.
The University of Southern California values diversity and is committed to equal opportunity in employment.
Master’s degree Combined experience/education as substitute for minimum education
Minimum Field of Expertise:
Knowledge of research processes and computer science.