Princeton RSE Group: Details in caption.

The Princeton RSE Group (Spring 2024). From left to right: Alice Fang, Killian Lieret, Joshua Carmichael, Rob Bierman, Any Defnet, Ioannis Paraskevakos, Henry Schreiner, Ian Cosden, Bill Hasling, David Luet, Andres Rios Tascon, George Artavanis, Joel Bretheim, Luca Bonaldo, Abhishek Biswas, Garrett Wright, Vineet Bansal, and Anushka Acharya. Photo Credit: Sameer A. Khan, Photobuddy. Not pictured: Troy Comi, Michal  Grzadkowski, Colin Swaney, Rohit Kakodkar, Sangyoon Park, Amit Solomon, David Turner, Mohamed Abdellatif, and Jonathan Gorard.

Bringing advanced software engineering expertise to research groups at Princeton

In today’s competitive research environment, high-quality software is critical for successful academic programs. Princeton’s Research Software Engineering Group is helping to redefine the collaborative possibilities between software engineers and traditional research groups, in order to maximize each project’s success.

We invite you to learn more about our work. Read featured group projects and see the Princeton RSE group blog for technical posts and highlights. 

About Us

Our Research Software Engineering group is part of the Princeton Research Computing consortium, located in the distinctive Lewis Library. Our mission is to help researchers create the most efficient, scalable, and sustainable research codes possible in order to enable new scientific advances.

We do this by working as an integral part of traditional academic research groups, providing leadership in the design and construction of complex and highly customized software systems. We can support sophisticated data science and computational research projects in high energy physics, machine learning, neuroscience, and genomics, among many other disciplines.

We provide our partner groups with domain-specific algorithms and solution techniques; optimization and performance tuning; and insights and guidance with current and future software development tools, programming languages, and high-performance computing hardware. 

Our group is committed to creating a collaborative environment in which best software engineering practices are valued, and to sharing and applying cross-disciplinary computational techniques to new and emerging areas.

Questions? Email Ian Cosden, Director, Research Software Engineering for Computational & Data Science.

 

RSE Employment Opportunities

Do you have a background in computational research and love to write code? Are you interested in enabling groundbreaking experiments that will allow for more efficient and impactful uses of renewable sources of energy? If so, Princeton University's Research Computing department is recruiting a Research Software Engineer to join the rapidly growing Research Software Engineering group. 

  • Lead Research Software Engineer II #: 2024-18904
    To apply, visit Princeton University Careers and search for the Req. 2024-18904 under staff positions.

    The “Princeton Language and Intelligence” Initiative at Princeton University invites applications for a Lead Research Software Engineer. This multidisciplinary initiative has three Research thrusts: (a) Better design, evaluation, safety and understanding of large AI models (especially language models); (b) Applications of large AI models to many academic disciplines; and (c) Studying the impact of large AI models on society and the world. The Initiative will produce open-source software and models. 

    In this position, you will be a lead and integral member of dynamic research teams focused on building innovative and complete software solutions for cutting-edge AI research and making fundamental contributions to AI projects with Princeton’s world-class researchers. As a Lead RSE, you will oversee a team of Research Software Engineers working on varied engineering solutions associated with large AI models. You will bring your advanced technical knowledge and project management experience to raise the computational capability of the team and translate key PLI priorities into engineering solutions.