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3 дня назад

HPC and AI Performance Engineer (HPC/AI)

105 500 - 243 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
HPC and AI Performance Engineer (HPC/AI): Benchmarking, tuning, and optimizing scientific and engineering applications on large-scale HPE HPC systems with an accent on compute, memory, accelerator, interconnect, MPI, and I/O performance. Focus on diagnosing bottlenecks, analyzing performance across CPU and GPU architectures, and developing optimization recommendations for sales engagements and product decisions.

Location: Hybrid, with an average requirement of two days per week in an HPE office; position listed for the United States of America, including Minnesota and Texas.

Salary: USD 105,500–243,000 annual base salary in Minnesota and Texas. Variable incentives may also be offered.

Company

hirify.global is a global edge-to-cloud technology company developing infrastructure and solutions for connecting, protecting, analyzing, and managing data and applications.

What you will do

  • Benchmark scientific ISV and open-source applications used across the HPC community.
  • Optimize HPC benchmarks on HPE systems for customer proposals and internal product decisions.
  • Analyze compute, memory, accelerator, interconnect, MPI, and I/O bottlenecks.
  • Assess performance across current and future HPC architectures and system configurations.
  • Collaborate with HPE teams and external technical peers to improve benchmark performance.
  • Provide technical guidance on benchmarking and performance optimization to Sales, Marketing, and Development.

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, Engineering, Physics, Chemistry, Environmental Science, or a related technical field; a Master’s degree or PhD is preferred.
  • 6–10 years of experience and academic or industry experience in HPC.
  • Experience evaluating, tuning, and optimizing computational applications on Linux-based HPC systems.
  • Knowledge of MPI, OpenMP, C, C++, Fortran, Python, shell scripting, Linux, and performance profiling or debugging tools.
  • Understanding of CPUs, GPUs, accelerators, CUDA, OpenACC, MPI implementations, parallel file systems, and large-scale application benchmarking.
  • Strong analytical, troubleshooting, communication, and cross-functional collaboration skills, with the ability to deliver under demanding deadlines.

Culture & Benefits

  • Hybrid work structure with flexibility to manage professional and personal needs.
  • Health, financial, and emotional wellbeing benefits for employees and their loved ones.
  • Personal and professional development programs supporting career growth and specialization.
  • Inclusive workplace committed to accessibility and equal opportunity.

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