Senior Research Software Engineer

About the role

Purdue University's Rosen Center for Advanced Computing (RCAC) is committed to providing advanced computational resources and services to support Purdue faculty and staff researchers. RCAC evaluates, deploys, and supports hardware and software for large-scale scientific computing, promotes effective use of research computing systems and application software through training and education, consultation, and documentation, and contributes to the discovery process through algorithm design and development of effective computing techniques.

Responsibilities

• Support the use of advanced research computing systems by providing researchers with the tools, expertise, and guidance needed to address complex scientific questions
• Analyze operational data, diagnose computing issues, and design, code, s, debug, install, document, optimize, and maintain complex programs
• Streamline data analysis capabilities and help improve workflows that support research productivity
• Collaborate with internal staff, campus researchers, national partners, and vendors to implement innovative computing and data technologies
• Lead or support regular training workshops that help researchers use computational tools more effectively
• Participate in national computing activities, including workshops, conferences, and presentations, to stay connected to emerging ideas and practices

Requirements

• Strong experience solving advanced computation and data problems in a research or technical environment
• Able to translate complex technical concepts into practical solutions for diverse audiences
• A collaborative, adaptable approach to working across teams and disciplines
• Curiosity, innovation, and a commitment to continuous improvement
• Experience developing, sing, and maintaining programs or analytical tools

Qualifications

• Bachelor’s degree in engineering, math, physical or life sciences, computer science, or related field
• Four (4) years of experience in one or more of the following:
• Supporting researchers and research teams by analyzing research needs, defining technical requirements, and translating research questions into effective software and computational solutions, including streamlining processes and improving research workflows
• Demonstrated experience designing, developing, and maintaining computing- and data-driven applications, including libraries, software tools, web applications, and research services that support scholarly workflows
• Experience with Laravel framework
• Experience working with workflow management systems and tools to automate, optimize, and scale computational or data-intensive research workflows
• Ability to collaborate effectively with interdisciplinary stakeholders, including faculty, research staff, and students, to improve the usability, reliability, and sustainability of research software and computing environments

Skills

• Ability to:
• Work on a team with various backgrounds
• Plan, organize and prioritize tasks, and complete projects with minimal supervision

• Experience in designing and developing software solutions
• Knowledge of:
• Linux operating system
• Scripting languages, i.e. Shell
• Version control software, i.e. GIT
• Software engineering principles

Preferred

• Knowledge of:
• Commercial and public domain software packages and tools
• Web development frameworks
• High-performance and high-throughput computing software and tools
• Machine learning/deep learning methods and frameworks

Additional Information

• Education and Experience Required: Bachelor’s degree in engineering, math, physical or life sciences, computer science, or related field; Four (4) years of experience in one or more of the following: Supporting researchers and research teams by analyzing research needs, defining technical requirements, and translating research questions into effective software and computational solutions, including streamlining processes and improving research workflows; Demonstrated experience designing, developing, and maintaining computing- and data-driven applications, including libraries, software tools, web applications, and research services that support scholarly workflows; Experience with Laravel framework; Experience working with workflow management systems and tools to automate, optimize, and scale computational or data-intensive research workflows; Ability to collaborate effectively with interdisciplinary stakeholders, including faculty, research staff, and students, to improve the usability, reliability, and sustainability of research software and computing environments
• Equivalent combinations of education and experience will be considered
• Skills Required: Ability to:
• Work on a team with various backgrounds
• Plan, organize and prioritize tasks, and complete projects with minimal supervision
• Experience in designing and developing software solutions
• Knowledge of:
• Linux operating system
• Scripting languages, i.e. Shell
• Version control software, i.e. GIT
• Software engineering principles
• Preferred: Knowledge of:
• Commercial and public domain software packages and tools
• Web development frameworks
• High-performance and high-throughput computing software and tools
• Machine learning/deep learning methods and frameworks

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Equal Opportunity Employer

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Posting Start Date

5/1/26