What are the responsibilities and job description for the Data Center GPU Commissioning Engineer position at Compugra Systems?
Role: Data Center GPU Commissioning Engineer
Location: San Jose CA (100% Onsite)
12months
Job Description
The Data Center GPU Commissioning Engineer is responsible for commissioning, validating, and stabilizing GPUbased infrastructure in data center environments. This role ensures GPU servers, interconnects, drivers, firmware, and platform software are correctly installed, configured, tested, and productionready to support AI, ML, and HPC workloads.
The engineer works closely with Deployment, Network, Platform, and Operations teams to deliver reliable, highperformance GPU clusters and ensure smooth handover to run operations.
Key Responsibilities
- Perform endtoend commissioning of GPU servers and clusters in data centers.
- Validate hardware installation, power, cooling, and cabling readiness for GPU systems.
- Install and configure GPU drivers, firmware, BIOS settings, and system software.
- Verify GPU health, performance, and stability using standard validation and burnin tests.
- Validate highspeed interconnects and networking used for GPU workloads.
- Execute clusterlevel testing for AI / HPC readiness and baseline performance.
- Identify, troubleshoot, and resolve hardware, driver, or configuration issues during commissioning.
- Work with OEMs and vendors for issue resolution and firmware recommendations.
- Ensure systems comply with security, hardening, and operational standards.
- Document commissioning procedures, results, and asbuilt configurations.
- Support handover to operations teams and assist during earlylife stabilization.
Required Skills & Experience
Technical Skills
- Handson experience with GPUbased servers in data center environments
- Strong understanding of:
- Linux system administration
- GPU drivers, firmware, and system tuning
- Server BIOS, firmware upgrades, and hardware diagnostics
- Familiarity with data center networking concepts and highperformance interconnects
- Exposure to AI / ML / HPC environments is strongly preferred
Operational Skills
- Strong troubleshooting and root cause analysis skills
- Experience working in structured deployment and commissioning processes
- Ability to follow and improve runbooks and SOPs
Certifications (Preferred)
- OEM server certifications (HPE / Dell / Lenovo or equivalent)
- Linux administration certifications
- GPU / AI platform certifications (nice to have)