Arlington, VA, USA
158 days ago
Research Computer Scientist
Position: Research Computer Scientist (Digital Design)
Location: Arlington, VA (Hybrid – 2 to 3 days onsite)
Length: Direct Hire
Covid Requirements: N/A

Job Description:
Our client is looking for a highly talented and motivated technical Research Computer Scientist to join their team. The Research Computer Scientist will lead research and propose major innovations in domain specific computing targeting ASICs and FPGAs. The Research Computer Scientist will research and develop high speed, compact on-chip communication and switching mechanisms that scale to full device solutions. The Research Computer Scientist will collaborate with team members developing custom EDA tools to perform design space exploration of custom architectures across unique performance parameters. The Research Computer Scientist will be an active member of a fast-paced ASIC Development team supporting the full life cycle from functional architecture definition to physical implementation, verification, and tape-out. The Research Computer Scientist will collaborate with peers within the group, publish results in top tier conferences, and contribute to and lead proposals efforts.

Qualifications: PhD or Master’s degree and equivalent experience in Computer Engineering, Electrical Engineering, or Computer Science. Previous publications, patents, or innovations related to digital design, computer architecture, on-chip networking, EDA for digital design, or novel application mapping. 5 years of digital design experience using Synopsys or Cadence CAD tools and commercial and academic cad flows. 5 years of hardware description language (i.e., Verilog, VHDL, or System Verilog) and Python development experience. Ability to evaluate, apply, and mature published research to real-world problems at scale on prototype systems. Ability to handle Controlled Unclassified Information (CUI) per U.S. government regulations (eligibility to handle CUI requires U.S. Citizenship). 3 years of experience with hardware and software co-design and design space exploration with heterogenous computing architectures is preferred. Successful tape out experience on modern foundry nodes (
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