Hewlett Packard Enterprise
Hewlett Packard Enterprise
Hewlett Packard Enterprise हाइब्रिड क्लाउड और AI-संचालित संचालन चलाने वाले संगठनों के लिए एंटरप्राइज़ तकनीक विकसित करता है। इसके पोर्टफोलियो में HPE ProLiant सर्वर और HPE Cray हाई-परफॉर्मेंस कंप्यूटिंग, HPE Alletra स्टोरेज, HPE Aruba नेटवर्किंग, AI प्लेटफ़ॉर्म और तैयार AI फ़ैक्ट्रियाँ, तथा सेवा के रूप में GreenLake समाधान शामिल हैं। HPE Zero Trust और SASE जैसी सुरक्षा क्षमताएँ भी प्रदान करता है, साथ ही पेशेवर, सलाहकारी और सहायता सेवाएँ देता है, जो बड़े संगठनों को अपने बुनियादी ढाँचे को आधुनिक बनाने, डेटा सेंटर परिवेशों का प्रबंधन करने और बड़े पैमाने पर AI लागू करने में मदद करती हैं।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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