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Hewlett Packard Enterprise
Hewlett Packard Enterprise
H1B Visa SponsorArtificial IntelligenceEnterpriseHardware
Hewlett Packard Enterprise develops enterprise technology for organizations running hybrid cloud and AI-driven operations. Its portfolio spans HPE ProLiant servers and HPE Cray high-performance computing, HPE Alletra storage, HPE Aruba networking, AI platforms and turnkey AI factories, and GreenLake as-a-service solutions. HPE also provides security capabilities such as Zero Trust and SASE, alongside professional, advisory, and support services that help large organizations modernize infrastructure, manage data-center environments, and deploy AI at scale.
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HPC and AI Performance Engineer - HPE Hybrid Houston

Lead performance benchmarking for HPE and competing HPC and AI architectures across compute, networking, memory, storage, and software. Optimize demanding workloads and turn repeatable results into practical recommendations for customers and technical teams.

USUnited StatesMNMinnesotaTXTexas
$105,500 – $243,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredArtificial Intelligence
C++LinuxPython

Description

  • Lead HPC and AI benchmarking initiatives across CPU, GPU, networking, memory, and storage platforms
  • Assess HPE and competing architectures through performance models and benchmark evidence
  • Execute and evaluate scientific, engineering, LLM, AI training and inference, storage, and I/O workloads
  • Diagnose bottlenecks and improve applications, AI frameworks, libraries, compilers, runtimes, and system software
  • Use parallel computing, GPU acceleration, profiling, and memory and I/O optimization techniques
  • Produce reliable, repeatable performance results that support HPE HPC and AI solutions
  • Communicate technical conclusions to engineering teams, customers, and business stakeholders

Requirements

  • At least 6 years of experience with HPC and AI workloads, including scientific and engineering applications, MLPerf, large language models, AI training and inference, storage benchmarks, and performance-profiling tools
  • Strong understanding of HPC and AI architectures spanning CPUs, GPUs, accelerators, memory, networking, storage, and software stacks
  • Knowledge of parallel and distributed programming methods, including MPI, OpenMP, OpenSHMEM, and algorithm design
  • Ability to lead complex HPC and AI performance engagements and convert findings into customer-oriented recommendations
  • Proven ability to analyze and optimize computational applications and benchmarks on Linux systems
  • Experience with C, C++, Fortran, Python, Linux scripting, compilers, MPI, MPI-IO, OpenMP, and AI frameworks and libraries
  • Experience working with NVIDIA GPUs and AMD Instinct MI-series accelerators
  • Experience with CUDA, HIP, OpenMP target offload, OpenACC, or comparable programming models
  • Experience using performance profiling, tracing, and debugging tools on Linux systems
  • Ability to interpret benchmark data, locate performance constraints, and propose improvements
  • Strong analytical and problem-solving abilities
  • Strong written and spoken communication skills
  • Professional proficiency in English
  • Master’s degree in computer science, engineering, mathematics, physics, chemistry, environmental science, or a related technical discipline

Benefits

  • Comprehensive benefits designed to support physical, financial, and emotional wellbeing
  • Programs supporting personal and professional growth
  • Flexible work options that accommodate professional and personal responsibilities
  • An inclusive workplace culture
  • Hybrid working arrangement

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