Director, Engineering IT Operations

Edinburgh, Scotland Global Operations – IT /Full Time /Hybrid 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, 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  this role, your 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.

Key responsibilities

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

Demonstrated experience administering large-scale Linux environments

Strong expertise with RHEL, CentOS, or other Linux variants

Deep knowledge of:

NFSLDAP and Active Directory integrationDNS and DHCPSSH, 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 infrastructureHPC 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 infrastructureEDA workload tuning

Distributed job execution

License-aware scheduling

Experience with :

Millions of jobs per day preferredCPU and memory optimization

Farm utilization analytics

Capacity forecasting

Semiconductor and EDA Environment Knowledge Strong understanding of semiconductor engineering workflows and their infrastructure dependencies

Familiarity with:

RTL-to-GDSII flows

Verification regressions

Simulation farms

Synthesis and…