Electronic Design Automation (EDA) Algorithm Research Engineer
Posted on Nov 17, 2018 by Affinity Executive Search
Exciting opportunity working on the most advanced technology for the military and intelligence markets. Only US citizens will be considered and you be able to obtain a secret clearance.
Required Job Qualifications
Qualified candidates for this position must be willing and eligible to obtain and maintain a collateral Secret clearance. Eligibility for this clearance requires U.S. citizenship. Current SECRET clearance or higher is a plus.
PhD in Computer Engineering, Electrical Engineering, or Computer Science required.
Experience developing high level algorithms for FPGA or ASIC design such as High Level Synthesis, Machine Learning, and Graph partitioning required.
Solid understanding of CAD algorithms, including design space exploration (SAT, MILP), synthesis, partitioning, mapping, placing, and routing.
Expert level use of Xilinx or Intel FPGA implementation tools.
Proficiency in hardware development in VHDL or Verilog, or SystemC or SystemVerilog.
Five years of C++/Java and Python development experience, including contributions to large-scale software projects, commercial or open-source.
Previous publications, patents, or innovations related to FPGA productivity, CAD or EDA algorithms and tools.
Preferred Job Qualifications
Experience with Model Checking, compositional verification, interface synthesis, or algorithmic game theory desired.
Experience with Torc, RapidWrite, ABC, VPR, VTR, RapidSmith, GoAhead, or similar tools a plus.
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: Masters 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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