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Director, Engineering IT Operations

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Cirrus Logic
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Systems Engineer, IT Infrastructure, Unix/Linux
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutions for the world's top consumer brands. Cirrus Logic is also known for its award-winning culture, which was built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn.

But we couldn’t do it without our extraordinary workforce – and that’s where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career!

Cirrus Logic is seeking a Director, Engineering IT Operations to lead the strategy, scalability, reliability, and day-to-day operations of the infrastructure that supports more than 1,000 semiconductor design engineers across global sites.

In this role, you will oversee the platforms and services that are essential to chip development, including high-performance compute environments, EDA tool infrastructure, job scheduling systems, revision control platforms, enterprise storage, automation, and engineering productivity tooling. The ideal candidate combines deep technical expertise with strong organizational leadership and a proven ability to deliver highly available, secure, and scalable infrastructure for mission-critical engineering workflows.

What

You’ll Do
  • Define and lead the infrastructure strategy supporting semiconductor design and engineering operations across global locations
  • Ensure the availability, performance, scalability, and security of platforms used for chip development workflows
  • Lead teams responsible for Linux infrastructure, compute farms, enterprise storage, revision control, automation, and observability
  • Drive operational excellence across 24x7 production environments, including incident response, root cause analysis, change management, and disaster recovery planning
  • Partner with silicon engineering, CAD/EDA teams, IT, security, program management, and executive leadership to align infrastructure priorities with business and product development goals
  • Improve engineering productivity by advancing automation, self-service capabilities, and platform reliability
  • Develop capacity plans and long-range infrastructure roadmaps to support continued growth in compute, storage, and engineering demand
  • Establish and maintain service-level expectations, performance metrics, and continuous improvement practices across engineering IT operations
Who You Are Linux Infrastructure
  • Extensive experience architecting, deploying, and supporting Linux platforms used for complex engineering applications
  • 10+ years of experience administering large-scale Linux environments
  • Strong expertise with RHEL, CentOS, or other Linux variants
  • Deep knowledge of:
    • NFS
    • LDAP and Active Directory integration
    • DNS and DHCP
    • SSH, PAM, and security hardening
    • File system permissions, ACLs, groups, and identity management
  • Deep expertise in enterprise storage infrastructure, including:
    • NAS and SAN topologies
    • Management of tens or hundreds of petabytes of storage
    • Data backup, disaster recovery, and business continuity strategies for large volumes of engineering data
  • Experience supporting:
    • 5,000+ servers or equivalent compute scale
    • Multi-site or global engineering environments
    • High-availability infrastructure
HPC and Compute Farm Administration
  • Extensive experience operating and scaling distributed compute environments that support semiconductor design workloads
  • Strong working knowledge of IBM Spectrum LSF, including:
    • Job scheduling and prioritization
    • Queue architecture
    • Resource allocation policies
    • Fair-share scheduling
    • Compute farm optimization
    • Regression infrastructure
    • EDA workload tuning
    • Distributed job execution
    • License-aware…
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