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VT
Virginia Tech
Computational Scientist
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What they do
A Computer Scientist conducts research and studies complex problems in computing. Develops computer algorithms that provide the foundation for advances in technology. May study computer hardware architecture, robotics or software, and collaborate with electrical engineers and other computer professionals.
$107,085 / year median in Virginia
+6% projected growth
Job Description
Job Description Advanced Research Computing at Virginia Tech provides centralized, scalable compute, storage, and visualization services that enable groundbreaking research across all of Virginia Tech. ARC currently operates compute resources comprised of
- 50,000+ CPU cores
- 500+ GPUs
- over 10 PB of storage
- a world class immersive visualization lab.
- Master's degree, or a combination of education, training, and progressive experience that equates to a Master's degree.
- Demonstrated service orientation and strong interpersonal skills.
- Proven experience managing projects and organizing events.
- Ability to explain technical concepts to audiences with varying levels of expertise.
- Proficiency with Linux command line tools, shell scripting, and one or more programming languages commonly used in scientific computing (Python, C/C++, Fortran, R, etc.).
- Experience working with HPC clusters and workflow orchestration tools
- Familiarity with software development best practices (version control, testing, documentation).
- Exposure to data intensive or big data research workflows. Preferred Qualifications
- Proven record of organizing community oriented events (workshops, seminars, conferences).
- Ph.D. or equivalent advanced degree with a focus on computational research.
- Experience conducting computational research in a relevant field
- Background in one of the following domains (either is desirable): 1. Computational biology / bioinformatics / genomics, or 2. Computer Aided Engineering (CAE) for mechanical/aerospace applications (finite element analysis, finite difference methods, Lattice Boltzmann methods, or other numerical PDE solvers).
- Deep knowledge of high performance computing, high speed networking, collaborative research tools, and storage architectures.