Research Programmer II - FPGA Digital Design

University of Southern California

United States

October 15, 2021

Description

Research Programmer II - FPGA Digital Design

Apply Viterbi School of Engineering Arlington, Virginia

USC's Information Sciences Institute (ISI) , a unit of the university's Viterbi School of Engineering, is a world leader in the research and development of advanced artificial intelligence, information processing, computing, and communications technologies. ISI's 300 faculty, professional staff and graduate students carry out extraordinary information sciences research at three distinct locations - Marina Del Rey, CA; Arlington, VA; and Waltham, MA.

This position is based in Arlington, VA. Hybrid work options are available

The Reconfigurable Computing Group (RCG) at ISI is a leader in disrupting and advancing the fields of FPGA and front-end ASIC design, computer architecture, and EDA tools. As an applied research lab, our work spans the creation and maturation of ideas from academic conception to applied research prototypes.

RCG staff can be found:

  • Researching and developing toolsets to map AI algorithms directly to hardware,
  • Optimizing full scale testing of billion transistor FPGAs to minimal runtime,
  • Performing experiments on the International Space Station,
  • Utilizing ISI's MOSIS service to fabricate novel computer architectures.
  • Our success is based on investing in our staff through a culture centered on:

  • Learning and idea generation,
  • Transparent and constructive feedback, and
  • Continual growth through contributing to, creating, and leading a research agenda.
  • We are looking for highly talented, motivated technical leaders to join our team. This position will lead the design and development of hardware and software solutions to assure the security, reliability, functional correctness, and performance of FPGA designs and architectures. The successful candidate will realize solutions in a variety of real-world FPGA-based systems such as unmanned aerial vehicles (UAVs), autonomous robotic swarms, and critical national defense infrastructure. The successful candidate will also lead development and validation while contributing to advanced research; adapt research and commercial-grade CAD tools to accomplish research objectives, collaborate with peers within the group and across ISI; contribute to publications in top tier conferences; and contribute to and lead proposals efforts.

    Position specific JOB QUALIFICATIONS:

  • Graduate degree or equivalent experience in Computer Engineering, Electrical Engineering, or Computer Science required.
  • Solid understanding of VHDL or Verilog.
  • Knowledge of FPGA architecture and device primitives demonstrated through mapping applications on Xilinx Zynq/Virtex-7/UltraScale+ or similar Intel devices using Xilinx Vivado or Intel Quartus tools.
  • Strong experience with testbench generation and functional verification of FPGA designs.
  • Applicants selected for this position will require access to Controlled Unclassified Information (CUI). Per U.S. government regulations, eligibility to handle CUI requires U.S. citizenship or U.S. permanent residency.
  • Preferred Job Qualifications:

  • Experience using C/C++, Python, TCL and/or Java in a digital EDA or embedded software environment a plus.
  • Familiarity with open-source EDA tools such as Google Project X-Ray, VTR or VPR, Yosys, SymbiFlow, RapidSmith, or TORC a plus.
  • Experience with software revision control systems such as Git, Mercurial, SVN, etc.
  • The University of Southern California values diversity and is committed to equal opportunity in employment.

    Minimum Education: Master's degree, Combined work experience and education as equivalent Minimum Experience: 3 years Minimum Field of Expertise: Relevant work experience to provide strong technical knowledge of programming and analysis as well as senior or lead experience. Demonstrated ability to stand in for researchers as circumstances require. Demonstrated creativity and innovation in solving conceptual programming problems.

    REQ20103465 Posted Date: 09/13/2021 Apply

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