Computational Scientist

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
50000 CPU cores
500 GPUs
over 10PB 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.

Required Qualifications

Masters degree or a combination of education training and progressive experience that equates to a Masters 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.

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Regular

Salary Information

$90000 - $105000

Hours per week

40

Review Date

7/23/2026

Additional Information

Sponsorship is not available for this position.

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

About Virginia Tech

Dedicated to its mottoUt 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 aninclusive communitydedicated to knowledge discovery and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36000 undergraduate graduate and professional students in eightundergraduate colleges aschool of medicine aveterinary medicinecollegeGraduate School andHonors 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 numerousExtension officesandresearch 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.