L3 TECHNICAL SME (AI COMPUTE)

Job Requirements:

• Minimum 8+ years of experience in AI Infrastructure, Linux Administration, Platform Engineering, HPC, or related infrastructure engineering roles.
• Strong hands-on experience in AI/GPU Infrastructure, including GPU server environments and high-performance computing (HPC).
• Solid expertise in Linux Administration and Troubleshooting, including system performance optimization and advanced issue resolution.
• Hands-on experience with Kubernetes and/or Slurm for container orchestration, workload scheduling, and GPU cluster management.
• Strong scripting and automation skills using Python and Ansible to automate infrastructure operations and recurring technical tasks.
• Experienced in conducting complex Root Cause Analysis (RCA), troubleshooting critical infrastructure issues, and implementing permanent corrective actions.
• Strong understanding of SLOs, capacity planning, performance analysis, and infrastructure optimization.
• Experience in infrastructure lifecycle engineering, architecture assessment, and identifying potential design or performance issues.
• Ability to handle L3 technical escalations and coordinate with OEM/vendors to resolve complex technical issues.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications:

• Experience supporting large-scale AI/GPU clusters or HPC environments.
• Experience in performance tuning and optimization of GPU computing infrastructure.
• Mandarin language proficiency is an advantage.
• Language: English required
• Experience: 8+ Years.
• Employment Type: Contract-based.

Skills: Gpu Computing Infrastructure., Ai Infrastructure, Linux, Kubernetes, Root Cause Analysis (RCA)