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5 часов назад

High Performance Computing (HPC) Systems Engineer

120 000 - 145 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

HPC Systems Engineer: Administering and managing HPC clusters, storage systems, and high-speed networks with an accent on Linux-based compute cluster installation and troubleshooting. Focus on providing application support to engineers and automating tasks with scripting.

Location: Onsite in Hawthorne, CA. Requires US work authorization (ITAR requirements).

Salary: HPC Systems Engineer/Level I: $120,000.00–$145,000.00/year; HPC Systems Engineer/Level II: $140,000.00–$170,000.00/year.

Company

hirify.global is developing technologies to enable human life on Mars.

What you will do

  • Administer and manage HPC clusters, storage systems, and high-speed networks.
  • Provide application support to hirify.global employees across engineering disciplines.
  • Install and integrate Linux-based compute clusters.
  • Write instructional documentation and convey highly technical ideas.

Requirements

  • 1+ years of hands-on experience with client/server hardware/software, management tools, enterprise networking, virtualization, and security technologies.
  • Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional software experience.
  • Experience with Linux.
  • Must be a U.S. citizen or national, U.S. lawful permanent resident (green card holder), Refugee, or Asylee due to ITAR requirements.

Nice to have

  • 3+ years of professional experience building, deploying, and troubleshooting Linux systems and HPC clusters.
  • Experience with scripting (Bash, Python) for task automation.
  • Familiarity with cluster resource managers (Slurm, PBS, LSF) and monitoring/alerting technologies (Prometheus, Grafana, Nagios).
  • Familiarity with scientific/engineering computing (CFD, FEA), ML frameworks (PyTorch, Tensorflow), GPU usage, and Cuda.
  • Experience with containers (Docker, Podman, Singularity) and automated configuration management (Puppet, Ansible).

Culture & Benefits

  • Comprehensive medical, vision, and dental coverage, and a 401(k) retirement plan.
  • Short- and long-term disability insurance, life insurance, and paid parental leave.
  • Opportunity for long-term incentives (company stock, stock options, cash awards) and an Employee Stock Purchase Plan.
  • 3 weeks of paid vacation and 10+ paid holidays per year.
  • Work in a fast-paced, challenging environment with mission-critical and sensitive systems.

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