Reconfigurable Computing Research Engineer – Job Order 2881

near Seven Corners, VA 22044
US citizenship required; active clearance a plus
MS Degree with 1 year of research experience

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 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. Realize effectiveness of solutions on physical FPGAs and custom ASIC fabrication. Lead development while contributing to advanced research, collaborating with peers within the group, and contributing to publications in top tier conferences.

Required Qualifications

Qualified candidates for this position must be willing and eligible to apply for a collateral Secret clearance. Per U.S. government regulations, eligibility for this clearance requires U.S. citizenship. Current SECRET clearance or higher is a plus.
MS in Computer Engineering, Electrical Engineering, or Computer Science required.
Three years of experience designing, developing, implementing, and debugging firmware for FPGAs, including Xilinx Virtex7 or later architectures.
Three years of C++/Java and Python development experience, including contributions to large-scale software projects, commercial or open-source.
Solid understanding of CAD algorithms including synthesis, partitioning, mapping, placing, and routing.
Expert level use of Xilinx or Intel FPGA implementation tools, including High level synthesis.

Preferred Qualifications:
Detailed understanding of mapped and unmapped netlist formats, such as EDIF, XDL, and structural Verilog.
Experience with Partial Runtime Reconfiguration and knowledge of FPGA bitstream formats a strong plus.
Experience with Torc, ABC, VPR, VTR, RapidSmith, GoAhead, or similar tools a plus.
Experience with Amazon EC2 F1 instances or related FPGA-based cloud platforms.
Experience with multi-processor system-on-chip, embedded systems software (Linux, cross-compilers) and Python productivity for FPGAs (i.e. Pynq).
Previous publications, patents, or innovations related to FPGA productivity, CAD or EDA algorithms and tools.

Minimum Education: Master’s degree, Combined work experience and education as equivalent

Minimum Experience: 1 year

Minimum Field of Expertise: Demonstrated creativity and innovation in solving conceptual programming problems. Competent to work independently on complex programming.

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