Sr. Staff CAD Engineer

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. 

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. 

Your Team, Your Impact

As a key CAD member of Marvell Central Engineering, you will play a leading role on developing next-generation automated design flow and its add-on tools. You will have the opportunity to use your extensive design and CAD knowledge to participate in defining the whole organization's design infrastructure, methodology and workflows.

What You Can Expect

• Lead the Design, implementation of software for large-scale HPC clusters for EDA workloads, ensuring high availability, fault tolerance, and efficient resource utilization

• Develop, automate, and monitor deployment, configuration, and operational processes for HPC infrastructure

• Collaborate with silicon engineers and designers to refine verification flows to run optimally on the grid; write corresponding software

• 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

What We're Looking For

• Bachelor’s degree in Computer Science, Electrical Engineering or related fields and 5-10 years of related professional experience or Master’s degree and/or PhD in Computer Science, Electrical Engineering or related fields with 3-5 years of experience or equivalent professional experience in lieu of a formal degree

• 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-funcTrack record of identifying and implementing infrastructure optimizations for efficiency, throughput, and reliability

• Strong Architectural skiils for Software Development

Preferred Qualifications: 

• Experience with cloud-based infrastructure or hybrid HPC environments

• Familiarity with regression management tools, and workflow automation specific to silicon verification

• Experience with HPC cluster management, especially using LSF/Platform LSF, in a chip verification or EDA context

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Key Attributes: 

• Analytical, detail-oriented, and proactive in identifying and solving technical problems

• Passion for continuous learning and embracing new technologies and methods