Location

Arlington, VA

Employment

Full-Time

Arrangement

Hybrid Eligible

Posted Date

April 27, 2024

Requisition Number

20140781

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Job Description

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 400 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 front-end ASIC and FPGA design, reconfigurable architectures, 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,


• Developing cutting-edge reconfigurable architectures,


• 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 developers to perform research and development in the area of CAD tools for FPGA hardware. This position will collaborate with a high caliber team to create EDA tools for trusted and assured computing. Develop automated hardware testing to validate functionality of a range of FPGA and eFPGA families and resources. Actively participate in developing techniques and tools to characterize and analyze the health of FPGA devices. This position will 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.

Position specific JOB QUALIFICATIONS:

• PhD or MS and equivalent experience in Computer Engineering, Electrical Engineering, or Computer Science required.


• Previous publications, patents, or innovations related to FPGA CAD tool algorithms (synthesis, partitioning, mapping, placing, routing), design automation, hardware trust, assurance, and security, or computer architecture.


• Strong software development (C++/Java/Python) and hardware design (VHDL/Verilog/System Verilog) experience.


• Expert level use of Xilinx, Intel, or Lattice FPGA implementation tools.


• Must be in or willing to relocate to the Arlington, VA area.


• Qualified candidates for this position must be willing and eligible to apply for a Top Secret clearance. Eligibility for this clearance requires U.S. citizenship. Current SECRET clearance or higher is a plus.

Preferred Job Qualifications:

• Experience using or contributing to open-source EDA tools such as Torc, RapidWright, ABC, VPR, VTR, RapidSmith, nextpnr, prjXray.


• Understanding of Machine Learning with applications to hardware systems, including training and inference.


• Experience with software revision control systems such as Git, Mercurial, SVN and CI/CD development workflows.

The annual base salary range for this position is $132,700 - $150,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

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 education Minimum Experience: 3 years Minimum Field of Expertise: Knowledge of research processes and computer science.

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