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

Lead benchmarking and optimization across CPUs, GPUs, networks, memory, storage, and AI systems. Translate workload and architecture analysis into reliable performance recommendations for customers and engineering teams.

Tavsif

  • Lead benchmarking initiatives across CPU, GPU, network, memory, and storage platforms
  • Assess HPE and competing HPC and AI architectures with performance models and benchmark data
  • Run and interpret scientific, engineering, LLM, AI training and inference, storage, and I/O workloads
  • Diagnose performance constraints and optimize 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 for HPE HPC and AI solutions
  • Communicate technical findings to engineers, customers, and business stakeholders

Talablar

  • At least six years of experience working with HPC and AI workloads
  • Experience with scientific and engineering applications, MLPerf, large language models, AI training and inference, storage benchmarks, and performance-profiling tools
  • Knowledge of HPC and AI architectures spanning CPUs, GPUs, accelerators, memory, networking, storage, and software stacks
  • Understanding of MPI, OpenMP, OpenSHMEM, algorithms, and parallel or distributed programming methods
  • Ability to lead complex HPC and AI performance initiatives and turn results into customer-oriented recommendations
  • Experience analyzing and tuning computational applications and benchmarks on Linux systems
  • Experience with C, C++, Fortran, Python, Linux scripting, compilers, MPI, MPI-IO, OpenMP, AI frameworks, and libraries
  • Experience with NVIDIA GPUs and AMD Instinct MI-series accelerators
  • Experience with CUDA, HIP, OpenMP target offload, OpenACC, or similar programming models
  • Experience using Linux-based profiling, tracing, and debugging tools
  • Ability to interpret benchmark data, locate performance bottlenecks, and recommend improvements
  • Strong analytical and problem-solving abilities
  • Strong written and verbal communication skills
  • Professional English proficiency
  • Master’s degree in computer science, engineering, mathematics, physics, chemistry, environmental science, or a related technical discipline
  • PhD preferred

Imtiyozlar

  • Benefits covering physical, financial, and emotional wellbeing
  • Programs supporting personal and professional growth
  • Flexible work options for balancing professional and personal responsibilities
  • Commitment to an inclusive workplace
  • Benefits details available for employees in the United States

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