Data Center GPU Platforms Systems Engineer (Onsite)

Experis (Austria); Austin (TX); On-site; USD 68,000 - 97,000; Full time

Job summary

Experis is seeking a Systems Design Engineer for Data Center / GPU Platforms in Austin, TX, to join a data-centric hardware and platform engineering team. This 12-month contract role is onsite, paying $60 per hour, with duties spanning hardware/firmware debugging, lab monitoring, and cross-team collaboration.

You will work on CPU/GPU server platforms, manage issues via JIRA, and coordinate with OEMs/ODMs to keep systems running smoothly in power, cooling, and network environments.

Qualifications

• Experience in data center/server lab/enterprise server infrastructure.
• Strong root-cause analysis and troubleshooting across hardware/firmware.
• Proficiency with Linux CLI tools, scripting, and log analysis.
• Familiarity with JIRA and basic scripting using Python or Bash.
• Ability to work onsite full-time and support overtime and travel requirements.

Responsibilities

• Debug hardware, firmware, BIOS, BMC/IPMI, GPU, and operating system issues on CPU/GPU server platforms.
• Manage and prioritize support requests through JIRA while providing timely updates.
• Install, replace, and cable server hardware components including GPUs, DIMMs, PSUs, and risers.
• Monitor lab and data center environments for power, network, cooling, and operational issues.
• Collaborate with engineering teams, OEMs, ODMs, and vendors to resolve platform-related challenges.

Skills

Root-cause analysis

Linux

Scripting

Python

Bash

JIRA

Hardware debugging

Tools

JIRA

Job description

Experis is seeking a Systems Design Engineer for Data Center / GPU Platforms in Austin, TX, to join a data-centric hardware and platform engineering team. This 12-month contract role is onsite, paying $60 per hour, with duties spanning hardware/firmware debugging, lab monitoring, and cross-team collaboration.

You will work on CPU/GPU server platforms, manage issues via JIRA, and coordinate with OEMs/ODMs to keep systems running smoothly in power, cooling, and network environments.