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Tier-1 brand, mid-level experience and metro locations offset by niche HPC specialization.
Requires specialized HPC/scientific computing expertise, limiting transferable candidates across industries.
Explicit 5+ years and specialized MPI/GPU profiling and HPC skills create stringent shortlisting filters.
Conduct scientific application performance benchmarking on HPE supercomputing platforms to support sales and product decisions under tight deadlines.
Optimize HPC benchmarks and analyze performance bottlenecks across compute, memory, accelerator, interconnect, MPI, and I/O subsystems to deliver competitive performance results.
Collaborate cross-functionally and provide technical guidance to Sales, Marketing, and Development teams to support customer success and business growth.
Bachelor’s degree in Computer Science, Mathematics, Engineering, Physics, Chemistry, Environmental Science, or related; Master’s or PhD preferred.
Typically 5+ years experience in HPC, including scientific application benchmarking and performance optimization on Linux-based HPC systems.
Proficiency in Python, shell scripting, MPI, parallel programming (OpenMP), and performance profiling and debugging tools.
Hybrid work model with an average 2 days per week onsite at HPE office.
Strong domain expertise in HPC scientific and engineering application benchmarks with practical experience tuning performance on HPC supercomputers.
Analytical and problem-solving capability with ability to independently identify performance bottlenecks and recommend optimizations across HPC system architectures.
Experienced collaborator effective in cross-functional teams, communicating complex technical findings clearly to both technical and non-technical stakeholders.