In this Research Software Engineer (RSE) position, you will closely collaborate on innovative interdisciplinary research software projects across Departments of Computer & Information Sciences, Electrical & Computer Engineering, Political Science & International Relations, and Civil & Environmental Engineering. You will be part of a dynamic team of Research Software Engineers (RSE) that we are building for the newly funded NSF Award “Building a Computational and Data-Intensive Research Workforce & Network in the Mid-Atlantic Region” – an interdisciplinary science project that focuses on modernizing social, behavioral and economic sciences, finance along with coastal science applications. The project aims to leverage tools and techniques in High Performance Computing (HPC) Artificial Intelligence (AI), Machine Learning (ML) and Data Science to advance the targeted domain sciences.  

The position provides an excellent chance for the RSE to split their time equally between  enhancing their research software development skills and also contributing to the establishment and the growth of the RSE program at UD in collaboration with partnering organizations. The role will also provide teaching and training opportunities allowing the RSE to balance their time and focus between technical and professional development.. 

The position includes benefits and competitive salary based on qualifications. 

Review of Applications will begin on August 31st, 2024.

Your responsibilities will include:

Software Development 

• Develop relevant and optimized software for domain science code via communication and collaboration with domain scientists to enhance the necessary metrics that may include performance, readability, usability, scalability of the code
• Maintain software libraries and (open-source) repositories  
• Contribute/coordinate with the MATCH/ACCESS program
• Contribute clean and effective code using software development platforms such as GitHub/GitLab
• Be an advocate to maintain and improve computing infrastructure for code development 
• Create comprehensive documentation of software developed 
• Complete user manuals for knowledge transfer, and ensure smooth handover with clear communication at the conclusion of the RSE software development 

Professional development 

• Learn about existing domain science code bases to better understand the need to apply research software engineering skills to the same 
• Learn to collaboratively develop software 
• Contribute to research and/or project reports as and when needed
• Adopt modern software development techniques and enhance/build best practices on RSE lessons learnt by working together with the RSE community 
• Employ agile development methods involving regular releases  
• Initiate/engage in RSE office hours/webinars/Slack channels 
• Assist with project-driven hackathons that include mentoring
• Provide RSE consulting expertise across domain sciences within UD and our external partners to leverage synergy across projects  
• Adapt to FAIR (Findable, Accessible, Interoperable, Reusable) research software principles while engaging in datasets, software development and dissemination 

Essential requirements 

• A Bachelors in Computer Science, Computer Engineering, Software Engineering, or related technical fields
• 3+ years of experiences in applying software engineering techniques to optimize scientific applications using parallel programming or distributed computing or machine learning (ML)/ AI techniques or high performance computing 
• Knowledge of parallel programming models/abstractions and/or MPI 
• Experiences with data science and ML/AI models 
• Expertise using medium-large scale multicore and heterogeneous (CPUs + accelerators such as GPU) clusters 
• Experience with software development for at least mid-size code bases
• Experience with languages such as Python and R for statistical analysis 
• Demonstrated ability to prepare scientific results for publications and/or presentations at relevant seminars and meetings
• Excellent verbal and written communication skills 

Preferred requirements  

• Contributions to open-source software ecosystem 
• Familiarity with CMake, make 
• Knowledge of version control systems 
• Ability and interest to communicate and collaborate with diverse science disciplines
• Experience in leadership, project management, or employee supervision
• Ability to help design as as well teach some modules of the to-be-created new RSE course/certificate 
• Experience in leading/offering training sessions

How to apply

Interested candidates with the required expertise and background, please prepare your application that should include a curriculum vitae with publications or link to publications listed and links to contributions to software (GitHub/GitLab profile names if possible). 

Please submit a SINGLE PDF to scipe-rse@udel.edu