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Computer Scientist - Heterogeneous Systems Group

Viterbi School of Engineering Arlington, Virginia

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. Remote work options are available *

The Heterogeneous Systems Group at ISI conducts research at the intersection of computer architecture and high-performance software.  The group’s specialties include compilers to operating systems, supercomputers to embedded systems.  The unifying theme across all these areas is heterogeneity and its impact on systems.  

We are looking for highly talented, motivated technical leaders to join our team. This position will lead research in the emerging area of on-board computing for autonomous spacecraft.  The successful candidate will be collaborative and capable of performing within a small team.  The candidate should be a self-starter and capable of successfully navigating the ambiguities of research.  The candidate should have previously published in top-tier conferences and journals and should be prepared to contribute to, and eventually lead, proposal efforts.

Position specific Job Qualifications:

  • PhD or MS and equivalent experience in Computer Science, Computer Engineering, or a related field
  • Previous publications in one or more of the areas of compilers, operating systems, or runtimes.
  • Expert-level understanding of either LLVM or the Linux kernel
  • Five years of C/C++ experience, including contributions to open source or commercial projects
  • Ability to evaluate, apply, and mature published research to real-world problems on prototype systems
  • Applicants selected for this position will require access to ITAR materials. According to U.S. government regulations, ONLY U.S. citizens OR lawful permanent residents (green card) are eligible for ITAR access.

Preferred Job Qualifications:

  • Familiarity with common AI frameworks such as TensorFlow
  • Familiarity with common AI interoperability formats such as ONNX
  • Current TS/SCI clearance is a 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.


REQ20106756 Posted Date: 09/16/2021

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