DevOps Engineer – Semiconductor EDA Tools & Automation
Core
Architecting, automating, and optimizing secure, high-performance environments for Electronic Design Automation (EDA) workloads to enable R&D and engineering teams to innovate faster.
Role type
DevOps Engineer (Semiconductor EDA Tools & Automation)
Builds
Scalable infrastructure for simulation, verification, and design workloads; CI/CD pipelines for EDA application updates and environment provisioning.
Domain
Semiconductor industry, Electronic Design Automation (EDA), High-Performance Computing (HPC)
Deliverable
production ML models | infrastructure
Required skills
DevOps practices, Infrastructure-as-Code (IaC), automation scripting, LSF or Slurm job schedulers, cloud platforms, hybrid infrastructure, EDA license server management, Linux administration, security and compliance implementation
Preferred skills
Terraform, CloudFormation, Python, Bash, AWS, Azure, GCP, semiconductor design/simulation/verification support, network and storage architecture for high-throughput environments, cloud certifications, regulatory and data security standards knowledge
Technologies
Cadence PSPICE, Artisan, LSF, Slurm, Terraform, CloudFormation, Python, Bash, AWS, Azure, GCP
Responsibilities
Design, automate, and manage DevOps pipelines for deploying and operating semiconductor EDA tools on-prem and in the cloud; Build and maintain scalable infrastructure for simulation, verification, and design workloads; Develop and manage infrastructure-as-code solutions to automate provisioning, configuration, and scaling of EDA environments; Collaborate with engineering, IT and security teams to ensure robust cybersecurity controls and compliance for sensitive design data; Optimize compute, storage, and network resources to deliver fast, reliable access to EDA tools for global R&D teams; Troubleshoot, monitor, and enhance performance of EDA workloads and DevOps pipelines.
Seniority
Mid-level, hands-on IC
