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Synopsys

EDA software for chip design

Staff Site Reliability Engineer - Unix Systems

Site Reliability EngineeringUpdated on Nov 13
Full-timeSunnyvale, CA, USA

About the Job

Requirements

  • At least 5 years of hands-on Unix/Linux system administration and troubleshooting experience in production environments.
  • Strong knowledge of Unix/Linux operating systems, including system administration, performance troubleshooting, system configuration, and production support.
  • Experience troubleshooting infrastructure issues across compute, storage, networking, processes, filesystems, system performance, and resource utilization.
  • Experience supporting production or business-critical infrastructure where system availability and performance matter.
  • Strong scripting and automation skills using Bash, shell, Python, Perl, or similar technologies.
  • Ability to methodically investigate unfamiliar technical issues.
  • Ability and motivation to quickly learn new infrastructure technologies and become productive in a complex engineering environment.
  • Experience with high-performance computing, grid computing, cluster computing, or engineering compute environments is beneficial.
  • Exposure to workload management technologies such as IBM Spectrum LSF, Platform LSF, Slurm, PBS Pro, Grid Engine, or similar schedulers is beneficial.
  • Experience with GitHub, GitLab, Perforce, Artifactory, infrastructure monitoring, configuration management, or related DevOps practices is beneficial.
  • Ability to work across time zones with globally distributed teams and communicate clearly during incidents and complex troubleshooting activities.
  • Occasional evening, weekend, or early morning on-call coverage is part of the production support rotation.

Responsibilities

  • Administer and troubleshoot large-scale Unix/Linux environments supporting business-critical engineering workloads across global development teams.
  • Investigate production issues affecting system performance, availability, resource utilization, and engineering users.
  • Support high-performance computing and grid computing infrastructure, including workload schedulers such as IBM Spectrum LSF, Slurm, PBS Pro, and Grid Engine.
  • Support infrastructure and development platforms including GitHub, GitLab, Perforce, and Artifactory.
  • Build automation, scripts, tools, and operational documentation that reduce repetitive work and improve reliability.
  • Monitor infrastructure health and performance and identify potential issues before they affect engineering productivity.
  • Participate in production support and an on-call rotation supporting globally distributed systems.
  • Contribute to root cause analysis and implement corrective actions that reduce recurring infrastructure problems.
  • Work with experienced team members while progressively taking ownership of increasingly complex infrastructure.
  • Help keep critical engineering infrastructure reliable and performant for thousands of engineers globally.
  • Identify and resolve Unix/Linux infrastructure issues to reduce engineering disruption.
  • Improve system reliability through automation, monitoring, troubleshooting, and preventative improvements.
  • Develop expertise in high-performance computing, grid computing, and workload scheduling technologies supporting compute-intensive engineering workloads.
  • Support reliable infrastructure and development services to improve engineering productivity.
  • Eliminate repetitive operational work through sustainable automation and process improvements.
  • Contribute ideas and improvements while building knowledge of the engineering environment.
  • Diagnose unpredictable grid scheduler behavior by tracing system logs and job traces and identifying causes such as configuration drift, kernel bugs, network saturation, or unexpected workload patterns.
  • Take ownership of difficult problems, drive them through resolution, involve appropriate people, and keep stakeholders informed.
  • Write incident summaries and postmortems that explain failures and help prevent recurrence.
  • Explain infrastructure tradeoffs to software engineers and determine when to investigate further or escalate.
  • Recognize recurring operational problems and build sustainable solutions rather than relying on manual workarounds.
  • Collaborate with engineering and infrastructure teams across the United States, Europe, India, and other global locations.

Desired Qualifications

  • Experience with high-performance computing, grid computing, cluster computing, or engineering compute environments.
  • Exposure to IBM Spectrum LSF, Platform LSF, Slurm, PBS Pro, Grid Engine, or similar workload schedulers.
  • Experience with GitHub, GitLab, Perforce, Artifactory, infrastructure monitoring, configuration management, or related DevOps practices.

About the Company

Synopsys

EDA software for chip design

Synopsys provides software tools and services for electronic design automation (EDA), helping engineers design, simulate, verify, and optimize semiconductor chips and systems. Its products cover the full design flow, including RTL-to-gating synthesis, place-and-route, timing analysis, verification, and silicon validation, as well as software integrity solutions and hardware-assisted verification. Engineers use these tools to model, simulate, and validate complex chip designs before manufacturing, reducing bugs and improving performance. Compared with many competitors, Synopsys differentiates itself through its broad, end-to-end design toolchain, large ecosystem of IP and integration with simulation and modeling capabilities gained from its 2025 merger with ANSYS, and its global scale and support. The company aims to help designers push the boundaries of chip and system performance, accelerate time-to-market, and enable silicon-to-systems design across a wide range of industries.

Company size
10,001+
Company stage
IPO
Headquarters
Sunnyvale, CA
Founded
1986

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