About
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.
Responsibilities
•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
Requirements
•8+ years building and operating compute infrastructure that powers engineering teams doing work that cannot afford downtime or performance degradation
•Fluent in Linux, Python, and the operational realities of managing LSF, UGE, or Slurm across large HPC environments
•Experience debugging misconfigured queues, optimizing cloud bursting strategies to balance cost and performance, and working 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
•Able to sit in a meeting with IT, security, and R&D, hear three conflicting priorities, and walk out with a plan that works for all of them
•When something breaks in production, digs in, finds the root cause, and gets it back online without waiting for someone else
•Thinks in systems, not tickets — sees how a change in cloud policy affects job scheduling, which affects engineering timelines, which affects product launches
•Comfortable saying no when a request does not make technical sense, and can explain why without shutting down the conversation
•Makes sure the infrastructure does not become the reason a team missed their milestone
Nice to have
•Experience managing HPC systems in large compute data centers
Benefits
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.
