Research Software Engineer, UD Institute Data Science

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The University of Delavere invites applications for a Research Software Engineer(RSE) to join the NSF AI Institute for Human-AI Cooperation (HAIC).The HAIC Institute () is a5-year ), $21.5 million, multi-institutional researchinitiative supported by the National Science Foundation. HAICbrings together researchers and partners to develop trustworthy AIthat strengthens human expertise, shapes the future of rehabilitation and health care, and cultivates the next generation of leaders in AI.

The RSE will work with HAIC researchers (from UD,University of Florida, University of Pennsylvania,Princeton University and other partner institutes) to build, validate, and maintain robust and scalable open-source software tools andcyberinfrastructure that support institute-wide research in artificial intelligence (including reinforcement learning and large vision-language models), biophysical digital twins, multimodal data processing, personalized rehabilitation, and human-AI symbiosis.

The RSE will leverage high-performance computing (HPC) systems including University of Florida’s Hi Per Gator  NVIDIA Super Pod andNSF funded NAIRR resources, and work extensively with research computing professionals and NVIDIA systems engineers. Softwareneeds include supporting reproducible research, interfacing withreal-time systems and databases, and translation of AI models for avariety of deployment settings. The RSE will join a growing cohortof RSE at UD, with coordinated professional development opportunities.

• Participate as a member of a highly technical, research driven team, forging close working relationships with HAIC researchers (faculty, post-doctoral, students, and staff) across multidisciplinary working groups.
• Provide support to HAIC researchers to use research computing hardware and software for workflows involving AI, data science, machine learning, and physics simulation, especially machine learning frameworks with interfaces for monitoring training, robust checkpointing, and validation suites.
• Assist researchers to develop, deploy, scale, and optimize workflows that effectively and efficiently use these high-performance computing resources.
• Utilize industry standard research software practices such as establish software version control, pipelines, institute standard testing frameworks, maintain documentation, manage public Git Hub repositories to support research dissemination, applying best practices when authoring and assisting in the pursuit of modular and maintainable software codebases that accelerate scientific discovery and societal impact.
• Help to identify appropriate hardware, software, and cyberinfrastructure platforms for different stages of research and development, including data collection, storage, and integration, along with computational-focused education and workforce development activities, assist in procurement, set-up, testing, and documentation.
• Enable the translation of software and models toward deployment in various settings and platforms.
• Serve as a computational liaison to research computing and IT groups at UD and partner institutions.
• Educate, train, and advise both novice and experienced researchers regarding software engineering, shared high performance computing environments,…