Computational Scientist

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.

We continuously evaluate emerging research computing trends to deliver high impact systems that meet the needs of the VT research community.

The Computational Scientist works directly with researchers at Virginia Tech while also contributing to technical development, outreach, and administrative activities. This role offers opportunities to mentor students, contribute to open source projects, attend national conferences, and participate in funded project proposals. ARC serves a diverse community and encourages applications from under represented groups in STEM.

• 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.

• 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.

Exempt: Not eligible for overtime

Regular

$90,000 - $105,000

40

7/23/2026

Sponsorship is not available for this position.

The successful candidate will be required to have a criminal conviction check.

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.

Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance.  These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.