You will be working on validating and testing GPU clusters prior to production release, ensuring hardware integrity, system reliability, and optimal performance. This role involves provisioning clusters, executing performance benchmarks, maintaining automated validation frameworks, and troubleshooting Linux-based systems in high-performance compute environments. You will collaborate closely with engineering and operations teams to ensure seamless handovers and production readiness.
.• Health Insurance/HMO
• Enjoy unlimited MadMax Coffee
• Diverse learning & growth opportunities
• Accessible Cloud HR platform (Sprout)
• Above standard leaves
Validate GPU clusters of varying sizes to ensure hardware and system integrity prior to production release
Perform functional and reliability testing of GPUs, servers, and associated components
Verify network connectivity and performance, including InfiniBand where applicable
Provision and configure GPU clusters using automated workflows
Execute and analyse performance and stability benchmarks orchestrated via Slurm
Validate results against expected performance and reliability thresholds
Maintain and extend the automated validation framework built using Python and Ansible
Integrate new test cases to support additional hardware platforms and GPU generations
Improve test reliability, coverage, and execution efficiency
Diagnose and remediate unhealthy nodes through configuration changes or software fixes
Coordinate with on-site support and Smart Hands teams for hardware replacements when required
Ensure all issues are resolved and documented prior to handover to production operations
Produce clear, accurate documentation of test results, hardware states, and remediation actions
Ensure smooth handovers to operations and engineering teams
Maintain up-to-date runbooks and validation procedures
Essential
• Strong hands-on experience administering and troubleshooting Linux systems (Prio)
• Confident use of CLI tools for diagnostics, including analysis of kernel logs, drivers, and system
services
• Excellent written and verbal English communication skills
• High standards for system reliability, consistency, and documentation
Preferred / Desirable
• Experience working with GPU-based or high-performance compute environments
• Familiarity with Slurm or other workload schedulers
• Understanding of datacenter hardware lifecycle and server validation processes
• Exposure to InfiniBand or high-speed networking technologies
• Experience working with distributed or remote infrastructure teams
• Proficiency in Python for automation, test execution, and parsing results (Preferred)
• Proven experience writing and maintaining Ansible playbooks (Preferred)
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