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Research Software Engineer, UD Institute for Data Science
Job Location:
Job Location:
Newark, DE - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
25 September 2026 (3 hours ago)
Posted:
Application Deadline:
23 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Pay Grade: 31S
Context of Job:
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 GitHub 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 servicesadapting to individual needs and experiencesand assist in the development of workshops and other training resources.
- Work proactively to broaden engagement between HAIC and the research cyberinfrastructure user community.
- Perform other related duties as assigned.
- Maintain knowledge of applicable laws and developments in state-of-the-art technology equipment and systems to support the institute projects.
Possible Project-Specific Technical Responsibilities:
- Biophysical Modeling & Omniverse Integration: Assist in the development and translation of biophysical kinematic and musculoskeletal models (e.g. OpenSim MuJoCo) into the NVIDIA Omniverse environment to support dynamic digital twin simulations.
- Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data natural language signal and image processing.
- Integration of Large Language Models with Knowledge Retrieval: Assist in the use and integration of APIs open-weight models etc. combined with large graph databases.
Qualifications
- Bachelors degree in computer science electrical and computer engineering data science statistics biomedical engineering mechanical engineering operations research robotics computational neuroscience applied mathematics physics or a closely-related discipline and five years of related work experience. Masters or PhD is preferred.
- Experience with the Linux operating system and utilizing the command line interface.
Demonstrated ability and experience with scripting and programming languages (Bash Python). - Hands-on experience with shared high-performance computing environments and workload scheduling tools (e.g. SLURM).
- Extensive experience with version control and git with contributions to open source repositories.
- Ability to work effectively with researchers (both computational and non-computational) within multi-institutional teams to define clarify and execute requirements and goals.
- Excellent oral and written communication skills.
- Ability to manage multiple projects keeping oriented to the goals and tracking details efficiently communicating on issues and outcomes and executing independently and in collaboration.
- Effective organizational interpersonal and customer-service skills.
- Aptitude for learning quickly and functioning in a dynamic technological environment.
Preferred Qualifications:
- Experience with parallel computing GPU operation (CUDA Toolkit) multi-GPU training and distributed frameworks for machine learning (e.g. PyTorch Distributed).
- Prior software engineering experience within AI scientific computing or robotics domains in industry academia government or non-profit organizations which involved architecting and managing codebases for large-scale technical projects
- Prior contribution to computationally-focused research publications and/or software or contribution to creating developer documentation API guides and descriptions of software use cases or other write-ups.
- Experience with modern collaborative productivity environments (e.g. Slack Trello etc.).
- Experience utilizing AI-assisted programming environments (e.g. GitHub Copilot Codex Cursor or LLM-driven coding tools) to streamline software development unit testing and refactoring.
- Course work or experience in one or more areas: AI data science machine learning computer vision signal processing knowledge representation (e.g. knowledge graphs) information retrieval statistics biophysical modeling robotics or neuroengineering.
- Experience developing within NVIDIA Omniverse Isaac Sim Isaac Gym or custom CUDA kernels.
Required Experience:
IC
About Company
The University of Delaware is a diverse institution of higher learning, fostering excellence in research. UD has eight colleges, providing outstanding undergraduate, graduate and professional education, serving the local, regional, national and international communities.
