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, MATLAB, Git, debugging, and modern software engineering practices. Experience with GPU computing (e.g., CUDA, HIP), parallel computing (e.g., MPI, Actor Model). Familiarity with containerization (e.g
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, VMware. Experience building and running containerized applications in an HPC environment. Knowledge of Apptainer, Warewulf, Fuzzball. Experience managing systems using GPU/CUDA clusters for AI/ML and/or
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. Familiarity with data formats common in scientific domains such as medical imaging, genomic sequences, proteins, chemical structures, geospatial, oceanographic, and heath record data. Experience in CUDA GPU
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languages such as CUDA. Strong understanding of computer architecture, memory systems and parallel algorithms. Experience with profiling and debugging tools for GPU applications desired, such as NVIDIA
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. Software Engineer Responsibilities: As a Software Engineer in the EPS team, your responsibilities will include: • Works as an integral member of the software development team to implement new functionality within
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 2 months ago
its collaborative relationship with UNCG’s African American & African Diaspora Studies program. The successful applicant for this position will teach courses in literature at the undergraduate and