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 50,000+ 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 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): Computational biology / bioinformatics / genomics, or 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 $90,000 - $105,000 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. Contact IT Human Resources at View email address on click.appcast.io during regular business hours at least 10 business days prior to the event. Equal Employment Opportunity Statement Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. Accommodations If you are an individual with a disability and desire an accommodation, please contact IT Human Resources at View email address on click.appcast.io during regular business hours at least 10 business days prior to the event. #J-18808-Ljbffr