Director, 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