Senior Data Infrastructure Developer

4 days ago


Bengaluru, Karnataka, India beBeeEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Overview

Marvell is seeking a seasoned senior EDA infrastructure engineer to join our team. In this role, you will play a pivotal part in developing next-generation automated design flow and its add-on tools.


">About the Role
  • 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.

Requirements
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
  • 2-4 years of industry experience.
  • Proficiency with programming or scripting 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.

Preferred Qualifications
  • Experience with cloud-based EDA 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.

Attributes
  • Analytical, detail-oriented, and proactive in identifying and solving technical problems.
  • Passion for continuous learning and embracing new technologies and methods.
  • Strong organizational abilities and commitment to documentation and process improvement.

This role is essential in ensuring that our chip verification teams have a robust, high-performance, and adaptable infrastructure to accelerate silicon innovation.

We offer competitive compensation and great benefits within an environment of shared collaboration, transparency, and inclusivity.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.



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