Careers

Scientific Computing Intern, SCC
Full-time|New York, NY

The Scientific Computing Core (SCC), co-led by Nick Carriero and Ian Fisk, manages supercomputing resources and provides high performance computing (HPC) expertise to all centers at the Flatiron Institute, a division of the Simons Foundation, developing tools broadly useful to the scientific community as a whole.
 
As new GPUs become available from different vendors comes the question for programmers developing scientific software to choose the tools to port their applications to the new architectures. Several standardization attempts have been made before, but none came to fruition. However, with the most recent supercomputers installed all using a novel architecture, this has greatly renewed interest in this field.
 
SCC is seeking a Scientific Computing Intern to apply their software engineering skills to assess the programmability of the different available tools, as well as benchmark the resulting programs on a practical problem. The focus will be on dense linear algebra. The selected candidate will have a chance to test and use modern GPU equipment, along with advanced programming models. They will be on SCC premises daily to meet with their advisor, collaborate with scientists from a broad range of disciplines, present their progress, and participate in discussions. At the completion of their projects, they will present their work orally and potentially prepare a research paper.

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Application deadline: February 1, 2023
Software Engineer Intern, SCC
Full-time|New York, NY

The Scientific Computing Core (SCC), co-led by Nick Carreiro and Ian Fisk, manages supercomputing resources and provides high performance computing (HPC) expertise to all centers at the Flatiron Institute, a division of the Simons Foundation, developing tools broadly useful to the scientific community as a whole.
 
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. The internship will be focused on HPC, and not machine learning, though many of the techniques used can be applied to accelerate machine learning applications. The selected candidate will be on SCC premises daily to meet with their advisor, collaborate with scientists from a broad range of disciplines, present their progress, and participate in discussions. At the completion of their projects, they will orally present their work and potentially prepare a research paper.

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Application deadline: February 1, 2023
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