Research Software Engineer, UD Institute Data Science
Listed on 2026-09-04
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer -
Research/Development
Data Scientist
University of Delaware Equal Employment Opportunity Statement
The University of Delaware is an Equal Opportunity Employer which encourages applications from Minority Group Members, Women, Individuals with Disabilities and Veterans. The University's Notice of Non-Discrimination can be found at http://(Use the "Apply for this Job" box below)..html
Job No: 503750
Work Type:
Staff
Location:
Newark, DE
Categories:
Research & Laboratory, Full Time
Pay Grade: 31S
Context of Job:
The University of Delaware (UD) invites applications for a Research Software Engineer (RSE) to join the NSF AI Institute for Human-AI Cooperation (HAIC). The HAIC Institute () is a 5-year ), $21.5 million, multi-institutional research initiative supported by the National Science Foundation. HAIC brings together researchers and partners to develop trustworthy AI that 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 and cyberinfrastructure 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 and NSF funded NAIRR resources, and work extensively with research computing professionals and NVIDIA systems engineers.
Software needs include supporting reproducible research, interfacing with real-time systems and databases, and translation of AI models for a variety of deployment settings. The RSE will join a growing cohort of RSE at UD, with coordinated professional development opportunities.
This position is supported by the U.S. National Science Foundation through U.S. National Science Foundation under Cooperative Agreement No. 2433450. Continuation of this position is contingent upon performance and continued availability of these funds. Notice of non-renewal is not required.
Major Responsibilities- 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, associated software and services—adapting to individual needs and experiences—and assist in the…
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