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Hewlett Packard Enterprise
Hewlett Packard Enterprise
H1B vizos rėmėjasAparatinė įrangaDirbtinis intelektasĮmonė
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.
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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.

USJungtinės ValstijosMNMinesotaTXTeksasas
105 500 $ – 243 000 $ / metai
HibridinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųDirbtinis intelektas
C++LinuxPython

Aprašymas

  • 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

Reikalavimai

  • 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

Privalumai

  • 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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