GPU Data Center Systems Engineer

Cadence Design Systems, Inc.; San Jose (CA); On-site; USD 78,523 - 146,025; Full time

Job summary

Cadence Design Systems, Inc. is seeking a Data Center Operations Engineer to support, maintain, and deploy critical data center infrastructure with a focus on Linux-based systems, GPU server deployments, and InfiniBand networking.

The role involves hands-on data center operations, cluster bring-up, hardware installation, and troubleshooting across compute, network, and GPU environments, collaborating with global teams to ensure reliable, secure, and scalable service delivery.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
• Strong hands-on Linux administration, troubleshooting, and performance validation.
• Proficiency with Linux CLI and shell scripting (Bash or equivalent).
• Experience with cluster bring-up, driver installation, and system-level configuration.
• Hands-on GPU server deployment in clustered environments and InfiniBand testing.

Responsibilities

• Provide hands-on operational support for data center projects and deployments.
• Participate in on-call rotation and provide on-site or remote support during maintenance windows.
• Troubleshoot Linux servers, GPU platforms, networking, and storage infrastructure.
• Support deployments, ensuring timely bring-up of GPU servers and clusters.
• Install and maintain server hardware and network gear.
• Follow incident management and SLAs, document procedures.

Skills

Linux

GPU servers

InfiniBand networking

Shell scripting

On-call support

Data center operations

Education

Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience

Job description

Cadence Design Systems, Inc. is seeking a Data Center Operations Engineer to support, maintain, and deploy critical data center infrastructure with a focus on Linux-based systems, GPU server deployments, and InfiniBand networking.

The role involves hands-on data center operations, cluster bring-up, hardware installation, and troubleshooting across compute, network, and GPU environments, collaborating with global teams to ensure reliable, secure, and scalable service delivery.