EDA Infrastructure Engineer at Marvell designing and maintaining HPC clusters for EDA workloads. Collaborating on infrastructure optimization and deployment automation to enhance chip verification processes.
Responsibilities
Design, implement, and maintain large-scale HPC clusters for EDA workloads, ensuring high availability, fault tolerance, and efficient resource utilization.
Manage, configure, and optimize LSF job scheduling systems to support diverse verification workflows.
Develop, automate, and monitor deployment, configuration, and operational processes for EDA infrastructure.
Collaborate with EDA engineers and designers to refine verification flows to run optimally on the grid.
Implement and advance CI/CD pipelines to streamline the deployment, testing, and monitoring of infrastructure and EDA flows.
Provide troubleshooting and support for users and the infrastructure.
Monitor infrastructure health, performance, and usage; proactively identify, resolve, and document issues.
Ensure compliance with security best practices, license management, and data protection requirements.
Contribute to architectural innovation and process improvement for future scalability and efficiency.
Participate in incident management teams for prompt issue resolution.
Requirements
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
2 -4 yrs of industry experience.
Proficiency with Programming or scripting in languages such as Python, Bash, or Perl for automation and workflow development.
Working knowledge of Linux system administration and cluster troubleshooting.
Familiarity with infrastructure-as-code, configuration management, and monitoring, DevOps and SRE concepts.
Strong communication and collaboration skills; ability to work in cross-functional teams.
Track record of identifying and implementing infrastructure optimizations for efficiency, throughput, and reliability.
Benefits
Competitive compensation and great benefits including health insurance
Professional development opportunities
Workstyle within an environment of shared collaboration, transparency, and inclusivity
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