HPC & AI Benchmarking Engineer (Hybrid)

Hewlett Packard Enterprise Company in

BLOOMINGTON (MN)

Hybrid

USD 106,000 - 243,000

Full time

2 days ago
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Job summary

Hewlett Packard Enterprise is seeking an HPC and AI Performance Engineer (Finance) to join our team in a hybrid role, working two days per week from an HPE office. The role focuses on scientific application benchmarks, performance tuning, and delivering high-quality benchmark results to support sales engagements and internal decisions.

You will collaborate across teams, stay current with HPC technologies, and apply advanced performance estimation techniques on Linux-based HPC platforms.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Engineering, Physics, Chemistry or related field; Master's or PhD preferred.
  • 6-10 years experience in HPC performance engineering or a closely related field.
  • Strong experience evaluating, tuning and optimizing benchmark performance on Linux-based HPC systems.
  • Ability to communicate complex technical concepts clearly to diverse audiences.

Responsibilities

  • Conduct scientific application performance benchmarking under tight deadlines for sales engagements and product decisions.
  • Optimize HPC benchmarks on HPE systems to generate actionable performance insights.
  • Develop understanding of HPC architectures and performance estimation to assess current/future systems.
  • Analyze results to identify bottlenecks across compute, memory, accelerator, interconnect, MPI, and I/O subsystems.

Skills

MPI programming
C/C++/Fortran
OpenMP
Python
Linux
Performance profiling
CUDA/OpenACC
Benchmarking
Parallel file systems
MPI implementations

Education

Bachelor's degree in a technical field
Master's or PhD preferred

Tools

MPI
CUDA
OpenMP
Fortran
Linux tools

Job description

Hewlett Packard Enterprise is seeking an HPC and AI Performance Engineer (Finance) to join our team in a hybrid role, working two days per week from an HPE office. The role focuses on scientific application benchmarks, performance tuning, and delivering high-quality benchmark results to support sales engagements and internal decisions.

You will collaborate across teams, stay current with HPC technologies, and apply advanced performance estimation techniques on Linux-based HPC platforms.

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