Data Center Operations Engineer (Linux/GPU)

TL;DR

Data Center Operations Engineer (Linux/GPU): Maintaining and deploying critical data center infrastructure with an accent on Linux-based systems, GPU server clusters, and InfiniBand networking. Focus on hardware installation, cluster bring-up, and troubleshooting compute and network environments.

Location: On-site in San Jose, USA

Company

hirify.global is a leading company providing electronic design automation (EDA) software and hardware tools to enable the design of integrated circuits.

What you will do

• Provide hands-on operational support for all data center projects, deployments, and repair activities.
• Troubleshoot and resolve operational issues related to Linux servers, GPU platforms, and storage infrastructure.
• Perform InfiniBand fabric bring-up, switch configuration, subnet management, and troubleshooting.
• Install, configure, and maintain server hardware, including rack and stack, cabling, and component replacement.
• Coordinate with vendors and global teams for hardware delivery, diagnostics, and warranty services.
• Maintain accurate operational documentation, system configurations, and technical runbooks.

Requirements

• Bachelor’s degree in Computer Science, Engineering, IT, or equivalent practical experience.
• Strong hands-on experience in Linux administration, troubleshooting, and shell scripting (Bash).
• Experience with cluster bring-up and validating GPU servers in clustered environments.
• Working knowledge of InfiniBand networking and the TCP/IP protocol suite.
• Experience installing and troubleshooting routers, switches, and terminal servers.
• Ability to lift 50+ lbs and work in physical data center environments (raised floors, equipment racks).

Nice to have

• Experience supporting HPC, AI, or large-scale GPU environments.
• Exposure to data center monitoring and alerting frameworks.
• Familiarity with large-scale data center buildouts or refresh programs.

Culture & Benefits

• Opportunity to work with cutting-edge AI and GPU infrastructure.
• Fast-paced operational setting focused on rapid problem resolution and reliability.
• Collaboration with cross-functional global teams across different time zones.
• Structured incident management and escalation procedures.