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Niche HPC specialization reduces density despite HPE brand and metro locations.
Highly specialized HPC and parallel-performance focus limits cross-industry transferability.
Requires 5+ years HPC-specific experience and mandatory technical skills like MPI, CUDA, profiling tools.
Conduct scientific application performance benchmarking and optimization on HPE HPC supercomputing platforms to support sales and product decisions under tight deadlines.
Analyze benchmark results to identify performance bottlenecks across compute, memory, accelerator, interconnect, MPI, and I/O subsystems, recommending optimization approaches for improved application performance.
Provide benchmarking consultation and technical guidance to Sales, Marketing, and Development teams, collaborating internally and externally to achieve optimal benchmark results and support business growth.
Bachelor's degree in Computer Science, Mathematics, Engineering, Physics, Chemistry, Environmental Science, or related field (Master's or PhD preferred).
Typically 5+ years of experience in HPC, focusing on scientific application benchmarks and performance optimization on Linux HPC systems.
Proficiency in Python, shell scripting, and HPC programming models such as MPI, OpenMP, and languages like C, C++, Fortran.
Work setup: Hybrid role requiring approximately 2 days per week at an HPE office.
Experienced in HPC scientific and engineering application benchmarking with a deep understanding of HPC system architectures and performance estimation.
Able to analyze complex performance data and bottlenecks across multiple HPC subsystems and recommend practical optimization solutions.
Strong collaborator comfortable communicating technical concepts and performance findings clearly across diverse internal teams and external customers in a fast-paced, results-driven environment.