AI use among electronics engineers, except computer is little observed so far. Measured exposure for electronics engineers, except computer: 10% (little observed).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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Synopsys has filed one layoff notice in the last twelve months, covering 128 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings

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About the job

We Are

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.

You Are

You have spent 10+ years keeping compute infrastructure running for engineers who need it to just work, not sort of work, actually work when they are pushing a deadline or running a critical simulation at 2 a.m. You know that the difference between a good HPC environment and one that slows down a product launch is usually a decision about job scheduling, storage latency, or cloud bursting made six weeks earlier, and you are the kind of engineer who sees that coming and fixes it before anyone files a ticket.

You are comfortable moving between on-premises data centers and cloud environments without losing sight of what matters: uptime, performance, and cost. You speak Linux and Python fluently. You have managed LSF, UGE, or Slurm in production, and you know what breaks when a queue gets misconfigured or a node goes rogue. You do not need a perfect requirements doc to get started. You talk to the R&D team, the IT team, the security team, and you figure out what the actual problem is and what the roadmap should look like.

At Synopsys, you will work with engineering teams building the tools that design the chips that power everything. The compute environments you manage are not back-office infrastructure. They are the platform that makes the work possible.

What You'll Be Doing

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

The Impact You Will Have

Engineering teams will have reliable, performant compute environments that let them focus on their work instead of fighting infrastructure

The roadmap you build will shape how Synopsys scales compute capacity for next-generation IP and EDA development

Your automation and scripting will reduce manual operations overhead and improve system reliability across the HPC environment

R&D teams will be able to burst to cloud when needed without waiting weeks for approvals or configurations

Your coordination across IT, security, and engineering will prevent bottlenecks and misaligned priorities before they slow down product timelines

The job scheduler optimizations you implement will improve throughput and reduce queue wait times for critical engineering runs

Your deep technical knowledge will make you the go-to resource when something breaks and needs to be fixed fast

What You'll Need

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

Experience managing HPC systems in large compute data centers is a strong plus

Who You Are

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

The Team You'll Be Part Of

You will be part of the Synopsys IPG HPC team, which enables engineering teams across the IP Group to run their workloads on both on-premises and cloud compute infrastructure. This is a hands-on, technically deep team that works closely with R&D, IT, and security to keep compute environments running and evolving.

Rewards and 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. Your recruiter will provide more details about the salary range and benefits during the hiring process.