Cloud Platform Support Engineer - HPC & EDA

Cadence

San Jose (CA)

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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Job summary

Cadence is seeking a Cloud Support Engineer to support secure, cloud-based silicon design environments used by external customers for mission-critical EDA and HPC workloads. You will focus on reliability, rapid issue resolution, and proactive platform improvements through automation and agentic AI.

The role involves supporting ITAR/CUI data in high-security environments and delivering exceptional customer experiences with professionalism and responsiveness.

Qualifications

  • Strong Linux system administration and troubleshooting experience.
  • Experience supporting HPC or large-scale compute environments.
  • Proficiency in Python, shell scripting, Perl, or other automation languages.
  • Experience with monitoring, logging, and alerting systems.
  • Familiarity with license management systems such as FlexNet/FLEXlm.

Responsibilities

  • Serve as primary technical support contact for external customers using secure cloud-based silicon design platforms.
  • Deliver timely, responsive, high-quality support and clear communications to customers.
  • Minimize downtime and exceed service expectations to build trust and satisfaction.
  • Communicate technical issues and resolutions to customers with varying expertise.
  • Maintain and improve platforms with automation and AI to increase MTTR efficiency.

Skills

Linux administration
HPC / large-scale compute
Python
Shell scripting
Perl
Monitoring / logging / alerting
License management (FlexNet/FLEXlm)
Customer service
ITAR / CUI compliance
Cloud platforms (AWS/Azure/GCP)
Agentic AI / automation

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Ansible
Terraform
FlexNet/FLEXlm

Job description

Cadence is seeking a Cloud Support Engineer to support secure, cloud-based silicon design environments used by external customers for mission-critical EDA and HPC workloads. You will focus on reliability, rapid issue resolution, and proactive platform improvements through automation and agentic AI.

The role involves supporting ITAR/CUI data in high-security environments and delivering exceptional customer experiences with professionalism and responsiveness.

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