Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand plus metro and mid-level demand, but role is niche HPC so competition is moderate.
Highly specialized HPC, MPI, CUDA and performance profiling skills limit cross-industry transferability.
Explicit 5+ years plus mandatory HPC, MPI, GPU and profiling expertise increases screening rigor.
Conduct scientific application performance benchmarking and optimization on HPE supercomputing platforms to support sales and product decisions.
Analyze benchmark results to identify performance bottlenecks across HPC subsystems and recommend optimization strategies.
Collaborate with cross-functional teams and provide technical guidance to Sales, Marketing, and Development for HPC customer success.
Bachelor’s degree in Computer Science, Engineering, Physics, or related technical field (Master’s/PhD preferred).
5+ years experience in HPC with strong understanding of scientific and engineering application benchmarks.
Proficiency in Linux HPC systems, performance tuning, Python, shell scripting, and parallel programming models (MPI, OpenMP).
Work onsite/hybrid with average 2 days per week at HPE office (hybrid work mode).
Experienced HPC performance engineer with strong skills in benchmarking, tuning, and optimizing scientific applications on supercomputers.
Proficient in analyzing complex performance data across compute, memory, accelerator, interconnect, and I/O subsystems for large-scale HPC systems.
Able to communicate technical findings effectively and collaborate cross-functionally in a fast-paced, deadline-driven environment.