Site Reliability, Staff / HPC Infrastructure Engineer

Enable faster product development cycles by ensuring high availability and performance of the compute infrastructure that powers Synopsys EDA tools

Maximize infrastructure utilization and license efficiency, directly reducing costs and improving engineering productivity across the company

Reduce incident response time and platform downtime through automation, monitoring, and proactive capacity management

Accelerate cloud adoption and modernization efforts, helping Synopsys scale compute resources dynamically to meet global engineering demand

Improve workload throughput and job completion times, giving engineers more iterations per day and faster feedback loops

Build operational resilience into the platform, ensuring that infrastructure scales reliably as the business grows

Mentor and elevate the technical capabilities of the global infrastructure engineering team, raising the bar for how we operate and support critical systems

8+ years of Linux/UNIX systems administration experience with deep expertise in performance tuning, troubleshooting, and large-scale operations

5+ years of hands-on HPC or compute farm administration, including workload scheduling, resource management, and capacity planning

Strong expertise in IBM Spectrum LSF, Slurm, or equivalent schedulers, including policy configuration, job prioritization, and performance optimization

Advanced knowledge of LDAP, NFS, DNS, enterprise storage systems, and networking in the context of distributed compute environments

Proven experience with Python and Shell scripting for automation, monitoring, and infrastructure orchestration

Solid understanding of monitoring and observability tools such as Grafana, Prometheus, Elastic, or Splunk for proactive incident detection and analysis

Experience with EDA environments is a strong plus, as is familiarity with cloud-integrated HPC platforms on Azure or AWS, Kubernetes, Docker, Ansible, or Terraform

You take ownership of problems end to end, from the first alert to the post-incident review, and you do not consider something fixed until you understand why it broke

You are self-driven and proactive, the kind of engineer who sees a pattern in the logs and writes the script to prevent it before anyone files a ticket

You can explain a complex infrastructure tradeoff to a VP in two sentences without losing the technical nuance, and you can turn that same conversation into a design doc for your team

You are collaborative and team-oriented, comfortable working across time zones and disciplines to align on solutions that work for everyone

You have strong analytical and problem-solving instincts, you do not guess, you instrument, measure, and validate before you change production

You are focused on service excellence and customer impact, you measure success by whether engineering teams can do their jobs faster and more reliably because of the infrastructure you built

The Compute Farm Infrastructure Engineering team operates and enhances Synopsys' global HPC and compute farm platforms. You will work with a distributed team responsible for providing reliable, scalable engineering compute services that support mission-critical EDA workloads. The team drives automation, modernization, and cloud adoption while maintaining high availability and operational excellence across all global sites.