Hewlett Packard Enterprise
Hewlett Packard Enterprise
Hewlett Packard Enterprise kuria įmonių technologijas organizacijoms, naudojančioms hibridinį debesį ir dirbtiniu intelektu grindžiamas operacijas. Jos produktų portfelį sudaro HPE ProLiant serveriai ir HPE Cray didelio našumo skaičiavimo sprendimai, HPE Alletra duomenų saugyklos, HPE Aruba tinklo sprendimai, dirbtinio intelekto platformos ir visiškai paruoštos dirbtinio intelekto gamyklos, taip pat „GreenLake“ sprendimai kaip paslauga. HPE taip pat teikia saugumo funkcijas, tokias kaip „Zero Trust“ ir SASE, bei profesionalias, konsultavimo ir palaikymo paslaugas, padedančias didelėms organizacijoms modernizuoti infrastruktūrą, valdyti duomenų centrų aplinkas ir plačiu mastu diegti dirbtinį intelektą.

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.

Aprašymas

  • 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

Reikalavimai

  • 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

Privalumai

  • 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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