IT & Infrastructure Engineer (EDA / SoC / AI Platforms)

Role Overview 

We are looking for a hands-on IT & Infrastructure Engineer to support and operate the compute, network, and EDA environments required for complex SoC design across digital and analog domains. 

This role will work closely with the IT & Infrastructure Architect to ensure reliable day-to-day operations while building scalable systems for EDA workflows, cloud infrastructure, and AI-enabled engineering environments. 

Key Responsibilities 

EDA & Engineering Support 

• Install, configure, and maintain EDA tools and environments (Synopsys, Cadence, Siemens/Mentor)  

• Support engineers with:  

• Tool setup issues  

• Environment/debug problems  

• Flow execution challenges  

• Assist in EDA license management:  

• Monitoring usage  

• Basic forecasting inputs  

• Troubleshooting license issues  

Compute & Systems Operations 

• Manage and maintain compute servers, clusters, and storage systems  

• Monitor system health, performance, and utilization  

• Support job schedulers (LSF, Slurm, etc.) and ensure smooth execution of workloads  

• Assist in managing cloud infrastructure (AWS or similar):  

• Instance setup and scaling  

• Basic cost tracking and optimization  

• Execute tasks related to cloud vs on-prem workloads under guidance  

Network & IT Operations 

• Support network configuration and troubleshooting  

• Manage:  

• Linux systems and user environments  

• Access control and permissions  

• Backup and data management processes  

• Ensure uptime and responsiveness of infrastructure for engineering teams  

AI Infrastructure Support 

• Assist in deployment and maintenance of AI/ML tools and platforms  

• Help manage:  

• API access and token usage  

• Resource allocation for AI workloads  

• Support implementation of AI usage policies and guardrails  

Automation & Tooling 

• Write scripts (Python/Bash) to:  

• Automate routine tasks  

• Improve system efficiency  

• Simplify engineering workflows  

• Contribute to building repeatable and scalable infrastructure processes  

Required Qualifications 

• Bachelor’s degree in Computer Science, IT, Electronics, or related field  

• 3–7 years of experience in IT systems, infrastructure, or DevOps roles  

• Strong working knowledge of:  

• Linux system administration  

• Basic networking concepts  

• Scripting (Python, Bash, or similar)  

• Exposure to:  

• Compute clusters or server environments  

• Cloud platforms (AWS preferred)  

• Strong problem-solving and debugging skills  

Preferred Qualifications 

• Exposure to EDA environments (even at a basic level)  

• Familiarity with job schedulers (LSF, Slurm)  

• Experience supporting engineering teams or technical workloads  

• Basic understanding of AI/ML infrastructure or tools  

• Knowledge of storage systems (NFS, NAS, etc.)  

Key Attributes 

• Strong execution focus and willingness to get hands dirty  

• High responsiveness and support mindset toward engineering teams  

• Eagerness to learn EDA and semiconductor workflows  

• Attention to detail and reliability  

• Ability to work in a fast-paced startup environment  

Success Metrics 

• Fast resolution of infrastructure and tool issues  

• High system uptime and reliability  

• Smooth execution of EDA workflows and regressions  

• Improved efficiency through automation  

• Strong support satisfaction from engineering teams  

Growth Path 

This role is designed to grow into: 

• Senior Infrastructure Engineer, or  

• Infrastructure/Platform Architect, with deeper ownership of EDA, cloud strategy, and AI platforms