DevOps Engineer – Semiconductor EDA Tools & Automation

Qualifications

• Minimum Requirements:
• Active and transferable U.S. government-issued Secret security clearance is highly preferred; must be able to obtain and maintain a Secret security clearance
• U.S. citizenship, as only U.S. citizens are eligible for a security clearance
• Bachelor’s degree in Computer Science, Engineering, or related field
• 3+ years hands-on experience automating and deploying semiconductor EDA tools (e.g., Cadence Allegro, PSPICE, or Artisan; Altium Designer; AutoCAD; SIMetrix) in enterprise environments
• Preferred Qualifications:
• Strong background in DevOps practices, infrastructure-as-code (Terraform, CloudFormation, or similar), and automation scripting (Python, Bash, etc.)
• Experience with LSF or Slurm job schedulers for high-performance compute workloads
• Experience with cloud platforms (AWS, Azure, or GCP) and hybrid infrastructure
• Experience supporting semiconductor design, simulation, or verification workloads at scale
• Experience with EDA license server deployment and management
• Knowledge of network and storage architecture for high-throughput environments
• Cloud certifications (e.g., AWS, Azure)
• Familiarity with regulatory and data security standards in the semiconductor industry
• Solid Linux administration skills
• Strong analytical and troubleshooting skills
• Excellent communication and collaboration ability
• Minimum Requirements: - Active and transferable U.S. government-issued Secret security clearance is highly preferred; must be able to obtain and maintain a Secret security clearance - U.S. citizenship, as only U.S. citizens are eligible for a security clearance - Bachelor’s degree in Computer Science, Engineering, or related field - 3+ years hands-on experience automating and deploying semiconductor EDA tools (e.g., Cadence Allegro, PSPICE, or Artisan; Altium Designer; AutoCAD; SIMetrix) in enterprise environments Preferred Qualifications: - Strong background in DevOps practices, infrastructure-as-code (Terraform, CloudFormation, or similar), and automation scripting (Python, Bash, etc.) - Experience with LSF or Slurm job schedulers for high-performance compute workloads - Experience with cloud platforms (AWS, Azure, or GCP) and hybrid infrastructure - Experience supporting semiconductor design, simulation, or verification workloads at scale - Experience with EDA license server deployment and management - Knowledge of network and storage architecture for high-throughput environments - Cloud certifications (e.g., AWS, Azure) - Familiarity with regulatory and data security standards in the semiconductor industry - Solid Linux administration skills - Strong analytical and troubleshooting skills - Excellent communication and collaboration ability