Research Software Engineer II
2 days ago
InsideHigherEd is seeking a highly skilled Research Software Engineer II to join our team. As a key member of our research software engineering group, you will be responsible for designing, developing, and implementing complex software solutions to support our research initiatives.
Key Responsibilities:- Lead and manage large-scale research software projects, overseeing timeline creation, stakeholder coordination, and resource allocation.
- Conduct thorough technical surveys to identify and integrate advanced software tools, components, libraries, and tools that enhance project outcomes.
- Design, develop, implement, and document complex software solutions, ensuring they align with research goals and are scalable for future needs.
- Implement and optimize high-performance computing solutions and existing applications for distributed computing environments.
- Maintain the highest standards of software quality through rigorous testing, debugging, and continuous integration practices.
- Uphold ethical AI development practices, focusing on fairness, transparency, and privacy.
- Stay current with the latest advancements in AI research, applying new findings to enhance project effectiveness.
- Develop and maintain comprehensive technical documentation accessible to a diverse user base, including researchers and IT professionals.
- Independently manage multiple concurrent projects, effectively prioritizing tasks to meet deadlines and achieve project milestones.
- Foster collaboration with the research community to understand their needs and translate them into innovative software solutions.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- At least 3 years of experience in software engineering within an academic or research environment.
- Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch).
- Demonstrated knowledge of generative models (GANs, VAEs) and natural language processing (NLP).
- Experience in source code optimization and troubleshooting.
- Strong understanding and hands-on experience with machine learning, data processing, and artificial intelligence.
- Experience with CPU and GPU-based high-performance computing (HPC), parallel (MPI), and distributed computing.
- Experience with cloud platforms (AWS, Azure, Google Cloud) and AI deployment.
- Familiarity with key research and scientific programming languages (Matlab, R, SAS, SPSS, STATA) and web frameworks (JavaScript).
- Experience leading or contributing to open-source projects.
- Familiarity with data security and privacy best practices.
- Experience working with diverse and interdisciplinary research teams.
- Knowledge of emerging trends and technologies in research software engineering.
- Demonstrated commitment to continuous learning and professional development.
- Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Data Science, or a related field and publication track record.
- More than 5 years in research software development, with a portfolio of complex, multi-disciplinary projects.
- Certification in project management (PMP, Agile/Scrum Master).
- Advanced proficiency with cloud computing solutions and containerization tools (Docker, Kubernetes).
- Significant contributions to open-source projects, showcasing collaborative and community-focused software development.
- Experience with ethical AI practices in AI models.
- Hands-on experience using large foundation models (e.g., LLMs) and associated tool chains and APIs to build applications, tools, and workflows.
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