Senior HPC Platform Engineer: Cloud & On-Prem Automation

Synopsys, Inc.

Porto Salvo

Remote

EUR 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Health benefits
Wellness programs
Financial benefits

Job summary

Synopsys IPG HPC team is seeking a seasoned infrastructure engineer to enable compute across on‑premises and cloud environments for design and simulation workloads. You will translate requirements into a technical roadmap and operate at scale.

You will manage LSF/UGE/Slurm, automate with Python, support production Linux systems, and collaborate across IT, R&D, and security to ensure reliable, cost-effective compute capacity.

Qualifications

  • Deep hands-on Linux/UNIX system administration in production environments.
  • Proven experience managing and optimizing job schedulers such as LSF, UGE, or Slurm in large-scale HPC environments.
  • Strong scripting and automation skills, particularly in Python.
  • Experience supporting engineering teams using cloud platforms like GCP, AWS, or Azure.

Responsibilities

  • Enable engineering teams to use on-premises and cloud compute for design, verification, and simulation workloads.
  • Translate requirements from stakeholders into a technical roadmap and execute on it.
  • Manage and optimize job schedulers (LSF, UGE, Slurm) across large-scale HPC systems.
  • Support and troubleshoot Linux/UNIX systems in production ensuring uptime and performance.
  • Build and maintain DevOps automation using Python and scripting languages.
  • Coordinate with IT, R&D, and infrastructure teams to align compute strategy.
  • Manage cloud compute operations across GCP, AWS, Azure including cost optimization and security.

Skills

Linux admin
LSF/UGE/Slurm
Python scripting
Cloud platforms (GCP/AWS/Azure)
DevOps practices
Stakeholder coordination
HPC data centers

Tools

LSF
UGE
Slurm

Job description

Synopsys IPG HPC team is seeking a seasoned infrastructure engineer to enable compute across on‑premises and cloud environments for design and simulation workloads. You will translate requirements into a technical roadmap and operate at scale.

You will manage LSF/UGE/Slurm, automate with Python, support production Linux systems, and collaborate across IT, R&D, and security to ensure reliable, cost-effective compute capacity.

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