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Tier-1 brand, mid-level 5+ years requirement, and Bangalore metro amplify competition.
Niche HPC and accelerator profiling skills limit transferability across industries, so background fit is highly sensitive.
Explicit 5+ years plus mandatory HPC, MPI, GPU and profiling expertise makes shortlisting highly strict.
Conduct scientific application benchmarking and performance optimization on HPE HPC supercomputing platforms to support sales and product decisions.
Analyze and identify performance bottlenecks across HPC system components and recommend optimizations for improved benchmark and application performance.
Collaborate with internal teams and external technical peers to ensure optimal benchmark results and provide technical guidance to 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 and scientific application benchmarking and optimization.
Strong proficiency with Linux-based HPC systems, HPC benchmarks, and performance analysis tools.
Ability to work onsite on average 2 days per week from an HPE office (Hybrid work model).
Experienced with HPC scientific applications and deep understanding of HPC hardware architecture and performance optimization techniques.
Demonstrated ability to evaluate, tune, and optimize benchmarks using programming models such as MPI, OpenMP, and languages like C, C++, Fortran.
Effective in cross-functional collaboration and communicating complex technical results to technical and non-technical audiences.