Careers

The Scientific Computing Core (SCC) manages supercomputing resources and provides high performance computing (HPC) expertise to all centers at the Flatiron Institute, developing tools broadly useful to the scientific community as a whole.
 
SCC is seeking an intern who is interested in high-performance networking of cluster resources.
 
Networks provide the underlying fabrics upon which high-performance computing operates, often limiting performance of key tasks like message passing or filesystem access. Architecting, deploying, and maintaining high performance networks requires both care and precision.

SCC is seeking a motivated programming intern to build interactive tools for visualizing and exploring scientific data, primarily using three dimensional representations.
 
Please look at the following web sites to see examples of the kind of microscopy data the intern will be working with.
 
• https://polymathic-ai.org/the_well/
• https://blastospim.flatironinstitute.org/html/
• https://github.com/flatironinstitute/lineage_viewer

The intern will work on a project at the intersection of astronomy and high-performance computing.
 
• Development of a Python software package with a compiled, parallelized backend to compute the two-point correlation function using SIMD CPU acceleration;
• Development of a Python package leveraging the Flatiron Institute Non-Uniform Fast Fourier Transform (FINUFFT) to accelerate measurement of the cosmological power spectrum;
• Contributing to the development of C++ exascale cosmological N-body simulation software.

SCC is seeking an intern who can provide continuous benchmarking of cluster resources. The candidate needs to have a strong experience in Python scripting, and a basic knowledge of NoSQL databases.

SCC is seeking a Software Engineer Intern to apply their development skills to original computational projects. The selected candidate will have a chance to collaborate on an open-source project while learning about numerical algorithms, GPU computing, MPI, and various other high performance computing (HPC) topics.