What are the responsibilities and job description for the Research Software Engineer, AI/ML position at Virginia Jobs?
Job Description
Advanced Research Computing (ARC) provides Virginia Tech researchers with access to high-performance computing systems, data storage, visualization facilities, and expert support. We help faculty and students across all disciplines get the most out of HPC and advanced computing tools.
The Research Software Engineer, AI/ML builds and supports the software that makes AI and machine learning accessible to our researchers. This is a hands-on, generalist role where you'll tackle varied challenges across AI services, grow your skills alongside the team, and progressively own our LLM infrastructure. You will work directly with faculty, Computational Scientists, and the rest of the ARC team to make AI tools useful for research. The role also involves leading workshops and training to help more people use AI effectively.
Please note: Sponsorship is not available for this position. This position is eligible for a hybrid work arrangement. While some remote work flexibility may be available, the role is expected to be performed primarily on-site.
Required Qualifications
- Master's degree, or a combination of education, training, and progressive experience that equates to a Master's degree
- Demonstrated professional experience working natively in a Linux environment (shell, scripting, package management, and system-level troubleshooting)
- Demonstrated experience developing and maintaining software and/or web services
- Experience with containerization technologies for deploying scalable workloads
Preferred Qualifications
- Demonstrated experience deploying and managing LLMs in production, including GPU computing in HPC environments
- Experience with LLM inference serving frameworks (vLLM, SGLang, llama.cpp) for high-throughput, low-latency deployment
- Experience using or building AI-driven applications and agent workflows (e.g., tool-calling, orchestration, integration into existing services)
- Experience with CI/CD pipelines, observability, and monitoring (Grafana, Prometheus) for production systems
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Regular
Salary Information
$110,000 - $130,000
Hours per week
40
Review Date
9/3/2026
Additional Information
Sponsorship is not available for this position.
This position is eligible for a hybrid work arrangement. While some remote work flexibility may be available, the role is expected to be performed primarily on-site.
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
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.
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.
If you are an individual with a disability and desire an accommodation, please contact IT Human Resources at during regular business hours at least 10 business days prior to the event.
Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer
Advanced Research Computing (ARC) provides Virginia Tech researchers with access to high-performance computing systems, data storage, visualization facilities, and expert support. We help faculty and students across all disciplines get the most out of HPC and advanced computing tools.
The Research Software Engineer, AI/ML builds and supports the software that makes AI and machine learning accessible to our researchers. This is a hands-on, generalist role where you'll tackle varied challenges across AI services, grow your skills alongside the team, and progressively own our LLM infrastructure. You will work directly with faculty, Computational Scientists, and the rest of the ARC team to make AI tools useful for research. The role also involves leading workshops and training to help more people use AI effectively.
Please note: Sponsorship is not available for this position. This position is eligible for a hybrid work arrangement. While some remote work flexibility may be available, the role is expected to be performed primarily on-site.
Required Qualifications
- Master's degree, or a combination of education, training, and progressive experience that equates to a Master's degree
- Demonstrated professional experience working natively in a Linux environment (shell, scripting, package management, and system-level troubleshooting)
- Demonstrated experience developing and maintaining software and/or web services
- Experience with containerization technologies for deploying scalable workloads
Preferred Qualifications
- Demonstrated experience deploying and managing LLMs in production, including GPU computing in HPC environments
- Experience with LLM inference serving frameworks (vLLM, SGLang, llama.cpp) for high-throughput, low-latency deployment
- Experience using or building AI-driven applications and agent workflows (e.g., tool-calling, orchestration, integration into existing services)
- Experience with CI/CD pipelines, observability, and monitoring (Grafana, Prometheus) for production systems
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Regular
Salary Information
$110,000 - $130,000
Hours per week
40
Review Date
9/3/2026
Additional Information
Sponsorship is not available for this position.
This position is eligible for a hybrid work arrangement. While some remote work flexibility may be available, the role is expected to be performed primarily on-site.
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
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.
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.
If you are an individual with a disability and desire an accommodation, please contact IT Human Resources at during regular business hours at least 10 business days prior to the event.
Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer
Salary : $110,000 - $130,000