Cloud Support Engineer — Secure HPC & Automation

Cadence Design Systems, Inc.

San Jose (CA)

On-site

USD 120,000 - 150,000

Full time

6 days ago
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Job summary

Cadence Design Systems, Inc. in San Jose 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.

This customer‑facing role emphasizes responsiveness and professional service, including automating tasks and applying agentic AI to improve MTTR. The engineer will maintain system reliability, resolve issues quickly, and ensure high customer satisfaction while complying with ITAR/CUI and

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‑focused languages.
  • Experience with monitoring, logging, and alerting systems.
  • Familiarity with license management systems (FlexNet/FLEXlm).

Responsibilities

  • Serve as the primary technical support contact for external customers using secure cloud‑based silicon design platforms.
  • Deliver timely, responsive, high‑quality support and communicate resolutions effectively.
  • Minimize downtime and enhance the customer experience through proactive support.
  • Communicate technical issues and updates clearly to customers with varying levels of expertise.
  • Maintain secure, compliant cloud environments and assist with incident response when needed.

Skills

Linux system administration
Python
Shell scripting
Monitoring/logging/alerting
Customer service

Education

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

Tools

Slurm
LSF
SGE
FlexNet/FLEXlm

Job description

Cadence Design Systems, Inc. in San Jose 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.

This customer‑facing role emphasizes responsiveness and professional service, including automating tasks and applying agentic AI to improve MTTR. The engineer will maintain system reliability, resolve issues quickly, and ensure high customer satisfaction while complying with ITAR/CUI and

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