Jobs at Cirrus Logic (Now Hiring) — 30 open — Page 2

• 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

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:

  • NFS

  • LDAP and Active Directory integration

  • DNS and DHCP

  • SSH, PAM, and security hardening

  • Filesystem 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 scheduling

• Experience with:

  • Millions of jobs per day preferred

  • CPU 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 place-and-route infrastructure

  • EDA license management

  • Cadence, Synopsys, and Mentor environments

  • Tapeout-critical infrastructure reliability

• Clear understanding of:

  • The impact of downtime on tapeout schedules

  • The importance of deterministic engineering environments

  • Reproducibility requirements

  • Common performance bottlenecks in EDA workflows

Revision Control and Data Management

• Deep operational knowledge of Perforce administration at enterprise scale, including:

  • Perforce database management and optimization

  • Backup and recovery strategies

  • Replication and edge servers

  • Large binary repository performance

  • Access controls and permissions

• Additional experience preferred with:

  • Git, GitLab, Gerrit, and GitHub

  • CI/CD for hardware development flows

  • Artifact management systems

  • Application and AI tooling strategy and direction

Automation and Infrastructure Engineering

• Strong background in infrastructure automation, platform engineering, and observability

• Experience with technologies such as:

  • Puppet

  • Python

  • Shell scripting

  • Ansible

  • Terraform

  • Kubernetes preferred

• Experience with monitoring and observability platforms such as:

  • Prometheus

  • Grafana

  • Splunk

  • ELK

• Strong understanding of:

  • Infrastructure as Code

  • Automated provisioning

  • Configuration management

  • Self-service engineering platforms

Organizational Leadership

• Demonstrable experience leading infrastructure or platform engineering teams

• Experience managing senior technical teams, including:

  • Senior Linux administrators

  • HPC engineers

  • Storage engineers

  • DevOps or platform teams

• Proven ability to build and scale organizations that support 1,000+ engineers in demanding technical environments

Operational Excellence

• Demonstrated success leading:

  • 24x7 production operations

  • Incident management and escalation processes

  • Root cause analysis and corrective action planning

  • Change management programs

  • SLA and SLO ownership

  • Disaster recovery planning

  • Security and compliance initiatives

Cross-Functional Collaboration

• Strong ability to work effectively across:

  • Silicon engineering

  • CAD and EDA teams

  • IT and security

  • Program management

  • Executive leadership

• Proven ability to translate:

  • Engineering pain points into infrastructure strategy

  • Business priorities into operational execution

• A leadership style that balances strategic vision with operational rigor

• Strong communication skills and the ability to influence across technical and executive audiences

• A hands-on mindset with the judgment to prioritize reliability, scale, and engineer productivity in a fast-paced semiconductor environment