1,098,928open jobs
63,978companies
187,147added this week
Browse all
Salary
≈ $161k – $303k per year (Estimated)
Location
Hybrid (Austin, United States)
Seniority
Architect · 12+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Jun 19, 2026. Cirrus Logic scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Cirrus Logic is a renowned brand that excels in the field of audio and voice technology. With a passion for innovation, they are committed to delivering high-performance products and services that enhance audio experiences across a wide range of applications. They offer a comprehensive portfolio of cutting-edge audio solutions, including audio amplifiers, codecs, digital-to-analog converters (DACs), and analog-to-digital converters (ADCs). These products are designed to meet the demanding requirements of professional audio equipment, consumer electronics, and automotive applications. Cirrus Logic's advanced technologies enable crystal-clear sound, rich audio quality, and immersive audio experiences. Their products are trusted by leading manufacturers in industries such as smartphones, tablets, home theater systems, automotive infotainment, and professional audio equipment. With a focus on continuous innovation, Cirrus Logic is a reliable partner for businesses seeking to elevate their audio performance. Their dedication to excellence and commitment to customer satisfaction make them a top choice in the audio technology market.

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, 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.

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

      • 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

Leadership Qualifications

    Organizational Leadership

    • 12+ years of 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

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,098,928 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Leadership
Similar stack
Same company
Austin
≈ $152k – $285k per year (Estimated) • In office • Bachelor's Degree • Charlotte
AI/ML
AI Agents
DevOps
Azure
AWS
Management
Agile
Apply
$160k – $180k per year • In office • Bachelor's Degree • New York
Analytics
Microsoft Excel
Management
Outlook
Apply
$135k – $194k per year • In office • 6+ years exp • Bachelor's Degree • Chicago
Python
SQL
Databases
Snowflake
Databricks
AI/ML
Machine Learning
DevOps
Azure
AWS
Cybersecurity
HIPAA
Apply
≈ $140k – $280k per year (Estimated) • In office • 5+ years exp • Associate's Degree • United States
Apply
≈ $263k – $494k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Jose
Python
SQL
AI/ML
Hadoop
Spark
LLM
Machine Learning
Apply
$120k – $170k per year • In office • Bachelor's Degree • United States
DevOps
Terraform
Ansible
GCP
GitLab CI
Azure
CI/CD
Git
AWS
Cloudflare
DNS
VPN
BGP
Apply
≈ $77k – $145k per year (Estimated) • Equity • In office • 3+ years exp • Bachelor's Degree • Tuscaloosa
Python
Rust
AI/ML
NumPy
DevOps
Terraform
AWS CDK
CI/CD
AWS
Docker
Amazon EC2
Amazon S3
HPC
SpaceTech
GDAL
Apply
API Engineer 1 day ago
≈ $92k – $185k per year (Estimated) • Equity • In office • 1+ year exp • Bachelor's Degree • Boulder
Python
Rust
R
R
Shiny
AI/ML
Structured Outputs
DevOps
Rest API
Terraform
GitHub Actions
CloudFormation
CI/CD
Git
AWS
Docker
Linux
Apply
≈ $71k – $196k per year (Estimated) • Equity • In office • Bachelor's Degree • Boulder
Python
Python
FastAPI
Dask
AI/ML
Spark
Machine Learning
DevOps
Terraform
GCP
GitHub Actions
CloudFormation
Azure
CI/CD
Git
AWS
Docker
Apply
≈ $81k – $153k per year (Estimated) • In office • Full-Time • 3+ years exp • San Jose
Python
AI/ML
InfiniBand
Apply
≈ $85k – $177k per year (Estimated) • Hybrid • Full-Time • Bachelor's Degree • Edinburgh
Python
Apply
≈ $118k – $233k per year (Estimated) • Hybrid • Full-Time • Edinburgh
Python
DevOps
Splunk
Terraform
Puppet
Ansible
Prometheus
CI/CD
Git
Kubernetes
Grafana
Platform Engineering
Configuration Management
Gerrit
CentOS Stream
Incident Management
SLI/SLO/SLA
GitHub
GitLab
HPC
Linux
DNS
DHCP
Cybersecurity
Active Directory
LDAP
Apply
Hybrid • Full-Time • Associate's Degree • Edinburgh
Apply
≈ $66k – $155k per year (Estimated) • Hybrid • Full-Time • Bachelor's Degree • Edinburgh
Verilog
SystemVerilog
MATLAB
Chips/EDA
UVM
Apply
IC EMC Engineer 8 days ago
In office • Full-Time • Edinburgh
Python
Chips/EDA
HyperLynx
Apply
≈ $158k – $297k per year (Estimated) • In office • 7+ years exp • Austin
Databases
Databricks
DevOps
Azure
Analytics
Master Data Management
Alation
Apply
≈ $156k – $293k per year (Estimated) • In office • Bachelor's Degree • Austin
Management
Confluence
Smartsheet
Jira
Apply
≈ $106k – $186k per year (Estimated) • Remote (United States) • Full-Time • Austin
JavaScript
TypeScript
C++
Node JS
DevOps
CI/CD
Management
Agile
Apply
$70k – $80k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • Austin
Cybersecurity
Zero Trust
Management
Microsoft Office
Apply
$75k – $120k per year • In office • Austin
Management
Microsoft Office
Apply
See all jobs
This is one of many
1,098,928 more open roles from verified company boards, updated every day.