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# Research Software Engineer

- **Company:** Virginia Polytechnic Institute And State University
- **Location:** United States (Remote available)
- **Salary:** $110,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bash Shell, Linux, General-Purpose Computing on Graphics Processing Units, Package Management Systems, Software Maintenance, Prometheus, Web Services, Scripting, Data Storage Technologies, High Performance Computing, Large Language Models, Grafana, Containerization, AI Platforms, Low Latency, Virtual Agents
- **Published:** August 23, 2026
- **Apply:** https://www.dice.com/job-detail/b4e0febc-f486-42be-a885-40f72c191e35

## About the Role

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, 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

## 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.


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