HPC DevOps engineer

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

• Enable engineering teams across Synopsys IPG to use on-premises and cloud compute environments for design, verification, and simulation workloads
• Translate requirements from business, engineering, cybersecurity, and data governance stakeholders into a technical roadmap and execute on it
• Manage and optimize job scheduler environments including LSF, UGE, or Slurm across large-scale HPC systems
• Support and troubleshoot Linux/UNIX systems in production, ensuring uptime and performance for engineering workflows
• Build and maintain DevOps automation using Python and other scripting languages to improve reliability and reduce manual toil
• Coordinate with IT, R&D, and infrastructure teams to align compute strategy, resolve issues, and deliver on engineering needs
• Manage cloud compute operations across GCP, AWS, or Azure, including cost optimization, security compliance, and hybrid cloud integration

• You have spent 8+ years building and operating compute infrastructure that powers engineering teams doing work that cannot afford downtime or performance degradation.
• You are fluent in Linux, Python, and the operational realities of managing LSF, UGE, or Slurm across large HPC environments.
• You have debugged misconfigured queues, optimized cloud bursting strategies to balance cost and performance, and worked across IT, security, and R&D to align infrastructure roadmaps with business priorities.
• Deep hands-on experience with Linux/UNIX system administration in production environments
• Proven experience managing and optimizing job schedulers such as LSF, UGE, or Slurm in large-scale HPC or engineering compute environments
• Strong scripting and automation skills, particularly in Python
• Experience supporting engineering teams using cloud platforms like GCP, AWS, or Azure
• Background in DevOps practices, tooling, and workflows
• Ability to translate technical, business, and security requirements into actionable roadmaps and coordinate across multiple stakeholder groups
• You can sit in a meeting with IT, security, and R&D, hear three conflicting priorities, and walk out with a plan that actually works for all of them
• When something breaks in production, you do not panic or wait for someone else to fix it. You dig in, find the root cause, and get it back online
• You think in systems, not tickets. You see how a change in cloud policy affects job scheduling, which affects engineering timelines, which affects product launches
• You are comfortable saying no when a request does not make technical sense, and you can explain why in a way that does not shut down the conversation
• You do not need to be the smartest person in the room, but you do need to be the one who makes sure the infrastructure does not become the reason a team missed their milestone
• Будет плюсом: Experience managing HPC systems in large compute data centers is a strong plus

• We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs.
• Our total rewards include both monetary and non-monetary offerings.