HPC Systems Engineer — Cloud & On-Prem Compute Lead

Staffing Technologies

United States

On-site

USD 150,000 - 220,000

Full time

14 days+

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Job summary

Staffing Technologies is seeking a Systems Engineer to support and optimize a large-scale HPC/server farm. The role focuses on on-premises compute infrastructure in San Jose, with exposure to cloud (AWS) and collaboration with R&D teams on software optimization.

The candidate should bring 8+ years of Linux-based compute farm experience, hands-on LSF/RTM, scripting in Python/Shell/Perl, and a track record of cross-geography coordination. BS/MS in CS preferred.

Qualifications

  • 8+ years of experience in a compute farm environment running Linux.
  • 5+ years in a global/large compute farm or hybrid cloud with 1,000+ servers and remote reports.
  • 3+ years coordinating across geographies in a team setting.
  • Extensive scripting with Python, Shell, Perl; IBM LSF and RTM experience; Farm to Cloud familiarity.
  • Experience with R&D software teams to optimize workloads and develop KPI.
  • Proven process focus with documentation, change, incident, and problem-resolution activities.
  • BS or MS in computer science or related field.

Responsibilities

  • Support multiple locations across North America, Europe, and Asia.
  • Improve R&D productivity and drive customer success.
  • Lead the three-year compute roadmap and capacity growth for the San Jose on-premises server farm.
  • Operate, manage, and enhance the internal compute farm and cloud (AWS).
  • Maintain and improve efficiency with monitoring and reporting.

Skills

Linux
LSF
RTM
Python
Shell
Perl
Compute farms
Cloud

Education

BS/MS in computer science

Tools

IBM LSF

Job description

Staffing Technologies is seeking a Systems Engineer to support and optimize a large-scale HPC/server farm. The role focuses on on-premises compute infrastructure in San Jose, with exposure to cloud (AWS) and collaboration with R&D teams on software optimization.

The candidate should bring 8+ years of Linux-based compute farm experience, hands-on LSF/RTM, scripting in Python/Shell/Perl, and a track record of cross-geography coordination. BS/MS in CS preferred.

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