Research Software Engineer, AI/ML
Job no: 537329
Work type: Administrative & Professional
Senior management: Vice President-Info Technology
Department: Advanced Research Computing
Location: Blacksburg, Virginia, Hybrid
Categories: Information Systems / Technology
Job Description
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.
Advertised: August 20, 2026
Applications close:
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