EDA Algorithm Engineer, FPGA and ASIC – Job Order 2786

near Seven Corners, VA 22044
US citizenship required; active clearance a plus
PhD in Electrical Engineering, Computer Engineering, or Computer Science or Masters with 3 years of experience.
Compensation: very wide range starting at $100K

My client is looking for highly talented, motivated researchers to lead and impact state of the art research and development in the area of reconfigurable computing. This position will lead research in algorithm development for custom internal tools which target FPGA and ASIC front end design. These tools solve challenging problems in hardware security, high level abstraction for hardware design, and machine learning acceleration for critical systems. Develop and realize effectiveness of solutions on physical FPGAs and custom ASIC fabrication. Lead research, propose major innovations, collaborate with peers within the group and across the organization, publish results in top tier conferences, and contribute to or lead proposals.

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: 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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