Director, Engineering IT Operations

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

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

Millions of jobs per day preferred

CPU and memory optimization

Farm utilization analytics

Capacity forecasting

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

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

The impact of downtime on tapeout schedules

The importance of deterministic engineering environments

Reproducibility requirements

Common performance bottlenecks in EDA workflows

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

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

Git, GitLab, Gerrit, and GitHub

CI/CD for hardware development flows

Artifact management systems

Application and AI tooling strategy and direction

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

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

Prometheus

Grafana

Splunk

ELK

Strong understanding of: Infrastructure as Code Automated provisioning Configuration management Self-service engineering platforms

Infrastructure as Code

Automated provisioning

Configuration management

Self-service engineering platforms

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

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

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

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

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

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

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