Hewlett Packard Enterprise
Hewlett Packard Enterprise
Hewlett Packard Enterprise gibrid bulut va sun’iy intellektga asoslangan operatsiyalarni yurituvchi tashkilotlar uchun korporativ texnologiyalarni ishlab chiqadi. Uning portfeli HPE ProLiant serverlari va HPE Cray yuqori unumli hisoblash tizimlari, HPE Alletra ma’lumot saqlash yechimlari, HPE Aruba tarmoq texnologiyalari, sun’iy intellekt platformalari va tayyor AI fabrikalari, shuningdek xizmat sifatida taqdim etiladigan GreenLake yechimlarini qamrab oladi. HPE, shuningdek, yirik tashkilotlarga infratuzilmasini modernizatsiya qilish, ma’lumotlar markazi muhitlarini boshqarish va sun’iy intellektni keng miqyosda joriy etishda yordam beradigan Zero Trust va SASE kabi xavfsizlik imkoniyatlari bilan bir qatorda professional, maslahat va qo‘llab-quvvatlash xizmatlarini ham taqdim etadi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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