Research Software Engineer, AIML

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 youll 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

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

$110000 - $130000

Hours per week

40

Review Date

9/3/2026

Additional Information

Due to the nature of the work conducted within the organization the successful candidate must be a U.S. Person (U.S. Citizen or Permanent Resident).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 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.