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 have spent years keeping production systems running, not the kind that serve web pages, but the kind that power semiconductor R&D. Massive HPC grids, petabytes of shared storage, GPU clusters behind firewalls you cannot just SSH through. You know that uptime is not luck, it is runbooks, monitoring that actually fires, and the discipline to fix the root cause instead of restarting the service one more time.
You are comfortable walking into a customer data center in Korea, troubleshooting an air-gapped NetApp array that lost quorum at 2am, and explaining what happened to both the local IT team and a global incident bridge in English an hour later. You do not need someone to tell you what to check next. You have done this enough times to know where the problem hides.
Containers, orchestration, LLM gateways, vector databases, these are not buzzwords to you. They are just the next layer of infrastructure you need to operate reliably in restricted, high-security environments where "just spin up a cloud instance" is not an option. You script, you automate, you document, and you hand off cleanly to the next region when your shift ends.
At Synopsys, you will work on the infrastructure that enables both traditional EDA workloads and the Synopsys.ai platform for semiconductor customers across Korea and APAC.
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Maintain and operate Synopsys Korea engineering compute and data center environments, including server lifecycle, enterprise storage (NetApp, NFS), and shared filesystems used by EDA and AI platform workloads
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Administer HPC clusters running LSF or Slurm, troubleshoot scheduler integration, InfiniBand where deployed, GPU compute, and performance incidents that affect engineering teams
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Deploy, configure, and support Synopsys.ai platform components in customer-hosted and air-gapped environments, including container platforms, API/AI gateways, LLM gateway integration, and vector database services
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Build and maintain observability, alerting, and authentication integration (OIDC, SSO, OAuth) for distributed platform services; write runbooks and operational documentation
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Participate in shared on-call rotation (weekday nights, weekends, holidays); lead or support incident response, produce post-incident reports in English
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Support customer on-site deployments and break-fix at air-gapped or high-security facilities; travel within Korea and APAC as needed (typically 10 to 20 percent of time)
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Automate operational tasks using scripting, infrastructure as code, or AI-assisted workflows to reduce toil and improve handoffs across the APAC team
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Improve availability and utilization of business-critical EDA and Synopsys.ai infrastructure that directly enables R&D and customer engineering teams across Korea
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Reduce operational risk for customer air-gapped and on-prem deployments through strong runbooks, monitoring, and incident practices
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Enable Synopsys tools and GenAI services to run predictably at scale by connecting customer HPC schedulers, shared storage, GPU compute, and platform gateways
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Extend APAC shared-support coverage with peers in Japan, Vietnam, Taiwan, and China, improving regional response time and knowledge transfer
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Close recurring operational gaps documented in runbooks and contribute measurable improvements to monitoring, documentation, or automation
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Build trusted working relationships with Korea engineering users, customer IT contacts, and global platform support teams that make future deployments smoother
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Support the rollout of agentic AI platform components that run locally, centrally, or on the grid, helping customers adopt new capabilities safely
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5 or more years in Linux system administration, infrastructure engineering, or production network and storage support
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Enterprise data center experience including servers, storage, networking, monitoring, and operational processes
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Hands-on NetApp, NFS, and storage troubleshooting in production environments
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HPC or EDA engineering compute experience with Linux clusters, workload schedulers like LSF or Slurm, and production support
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Ability to support GPU-enabled compute and containerized platform services in customer-controlled environments
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Familiarity with virtualization, remote access, observability stacks (Prometheus, Grafana, or similar), and infrastructure automation
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Understanding of secure multi-tier deployments including gateways, service-to-service authentication, and operational telemetry (logs, metrics, tracing) for distributed platform components
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Korean language proficiency for local user support, vendor coordination, data center operations, and customer communication
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English sufficient for global IT collaboration, incident documentation, and cross-regional handoffs
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Legal authorization to work in Korea and willingness to travel for on-site support at air-gapped or high-security facilities
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Experience supporting Korea enterprise or semiconductor customer environments is a plus
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Prior exposure to Synopsys.ai, LLM gateway, or GenAI platform operations in on-prem or air-gapped settings is a plus
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EDA toolchain or fab and design-house HPC support, MCP-based tool integration, Kubernetes or container platforms, vector database operations (Postgres with pgvector or similar), cloud AI service interfaces (Azure OpenAI, AWS Bedrock, Google Vertex), vLLM or similar on-prem inference serving, or RHCE and other infrastructure certifications are all strong differentiators
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You have proven on-call and major-incident handling experience; you can lead an incident bridge, communicate clearly to stakeholders during an outage, and write a post-incident report that actually helps the next person
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You own problems end to end; you do not stop at "it is back up," you figure out why it went down and what needs to change so it does not happen again
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You troubleshoot in a structured way; you know how to isolate the failure domain, check logs and metrics in the right order, and escalate with context when you need help
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You are comfortable working across local, regional, and global teams; you hand off cleanly, document what you did, and do not leave the next shift guessing
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You can walk into a customer data center, work with their IT team in Korean, coordinate with vendors, and represent Synopsys professionally in high-security or air-gapped environments
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You adapt to new platform components quickly; whether it is a new LLM gateway pattern, a vector database you have not touched before, or an MCP server integration, you read the docs, test it, and get it working
You will join the regional EDA Engineering Compute and platform operations team, working closely with global IT, application engineering (AE), and product teams. Your work directly enables R&D and customer engineering teams to run EDA and GenAI workloads, from HPC batch grids through containerized AI gateways, vector data services, and agent and MCP-based tool execution on the grid. The team collaborates across APAC, including peers in Japan, Vietnam, Taiwan, and China, and you will partner on in-country deployment and sustainment of platform components for key semiconductor accounts in Korea.
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.
