Director, Engineering IT Operations

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

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