<p>The Senior Research Software Engineer at the Advanced Computing Center for Research and Education (ACCRE) serves as a key individual contributor on the research computing team, directly supporting Vanderbilt faculty, staff, and students in high-impact scientific research. This role combines technical leadership, software engineering, AI/ML application support, and consultation to create optimized, scalable, and secure computing solutions that advance discovery.</p> <p>This position is responsible for onboarding labs to ACCRE's HPC environment, troubleshooting complex software issues, and helping develop end-to-end pipelines for GPU-accelerated and data-intensive research. The engineer also plays a central role in collaborative software development, training, and contributing to grant proposals and institutional research computing strategy.</p> <p>ACCRE is Vanderbilt's high-performance research computing center, serving hundreds of researchers across disciplines. It provides access to a 15,000+ core Linux cluster, GPU platforms, high-speed networking, and over 24 PB of distributed, fault-tolerant storage. ACCRE supports computing as the "third pillar" of research alongside theory and experimentation.</p> <p>Duties and Responsibilities</p> <p>Research Collaboration and Onboarding</p> <ul> <li>Serve as a liaison between ACCRE and researchers across departments, facilitating access to advanced computing tools.\ </li><li>Lead onboarding workshops and develop training materials to orient labs to ACCRE, including troubleshooting workflows and resolving software issues. </li><li>Consult with users to assess and translate research needs into computational workflows and support plans. </li></ul> <p>AI/ML and Deep Learning Support</p> <ul> <li>Provide technical expertise in deep learning, machine learning, and GPU-accelerated workloads using frameworks such as PyTorch and TensorFlow and CUDA. </li><li>Design, optimize, and deploy AI pipelines for performance and scalability on ACCRE and cloud platforms. </li><li>Provide insights on model training, data preprocessing, hardware use, and optimization strategies. </li></ul> <p>Software Engineering and Pipeline Development</p> <ul> <li>Develop modular and scalable research software applications, libraries, and reproducible workflows. </li><li>Implement and maintain CI/CD pipelines, testing frameworks, and automated deployment systems. </li><li>Contribute to or lead the development of open-source software in support of scientific research. </li></ul> <p>Training, Documentation, and Outreach</p> <ul> <li>Author comprehensive user documentation, web-based tutorials, and workshop content. </li><li>Teach workshops or seminars on research software engineering, cluster usage, version control, and data workflows. </li><li>Create community knowledge bases and share success stories internally and externally. </li></ul> <p>Strategic Research Computing Support</p> <ul> <li>Support faculty with technical sections of grant proposals (e.g., boilerplate text, system descriptions, data management plans). </li><li>Collect, analyze, and report metrics on ACCRE usage, research impact, and project outcomes. </li><li>Lead or participate in institutional initiatives to expand or improve research computing offering </li><li>Perform other duties as assigned. </li></ul> <p>Qualifications</p> <ul> <li>Master's degree in computer science, engineering, computational science, or a related field is required. </li><li>Minimum 8 years of experience in research computing, software engineering, or a comparable role is required. </li><li>Strong programming proficiency (e.g., Python, C/C++, or R) and experience with software development best practices. </li><li>Strong proficiency in applied machine learning and familiarity with frameworks such as pytorch, tensorflow and CUDA for model training and inference. </li><li>Advanced knowledge of high-performance computing systems, distributed computing, and job schedulers (e.g., Slurm). </li><li>Experience with version control (Git), unit testing, and CI/CD pipelines. </li><li>Excellent communication skills and ability to explain technical concepts to a range of audiences. </li><li>Demonstrated ability to collaborate on interdisciplinary research projects. </li><li>Familiarity with secure research environments and compliance with federal data standards. </li><li>Experience developing or maintaining research software in a collaborative, open-source environment. </li><li>Experience with infrastructure-as-code tools and containerization (e.g., Docker, Singularity). </li></ul>