Computational Research Developer
2 days ago
Overview
Princeton University's Research Software Engineering Group is seeking a highly skilled Computational Research Developer to join its fast-growing team. As a key member, you will collaborate with researchers to develop software solutions that support their work in hydrology and machine learning.
The group provides computational research expertise to multiple divisions within the University, focusing on improving the quality, performance, and sustainability of Princeton's computational research software. Our team is dedicated to creating collaborative and inclusive environments that value best software engineering practices and share cross-disciplinary computational techniques.
Responsibilities
- Design, develop, and maintain software tools and applications for scientific research projects in hydrology and machine learning.
- Write efficient, robust, and maintainable code that is well-documented and tested.
- Optimize code performance for large-scale, parallel simulations and modeling.
- Write technical reports and documentation to communicate software development processes and usage.
- Assist in managing software projects by contributing to developing project scopes and planning delivery timelines.
Qualifications
Essential Qualifications:
- At least two years of experience as a Research Software Engineer or equivalent.
- Strong programming skills in C/C++, CUDA, and Python.
- Expertise in Machine Learning.
- Experience in High-Performance Computing (HPC).
PREFERRED Qualifications:
- Experience with numerical methods in scientific programming.
- Experience working in an academic research environment.
Estimated Salary: $140,000 per year. A Master's degree in computer science, engineering, physical science, or a related field is required. The ideal candidate will have excellent communication and collaboration skills and be able to work effectively in a team environment.
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