GPU Infrastructure / HPC Trainer

Key Responsibilities

• Deliver comprehensive training on GPU infrastructure, HPC environments, and GPU servers.
• Train candidates on NVIDIA GPU architectures, including A100, H100, H200, and L40S.
• Provide hands-on training on GPU server setup, configuration, and deployment.
• Explain NVIDIA drivers, CUDA, GPU libraries, and compatibility.
• Provide training on InfiniBand networking and cluster configuration.
• Cover Linux administration and GPU infrastructure troubleshooting.
• Guide trainees through Docker, Kubernetes, and GPU workloads.
• Provide practical exercises using sandbox environments.
• Develop training materials, technical documentation, and hands-on assignments.
• Conduct technical assessments and evaluate trainee performance.

Requirements & Tech Stack

• Strong experience in GPU Infrastructure and HPC environments.
• Hands-on experience with NVIDIA GPU servers and clusters.
• Knowledge of NVIDIA GPU drivers, CUDA, and NVIDIA Container Toolkit.
• Experience with InfiniBand and high-performance cluster networking.
• Strong Linux administration and troubleshooting skills.
• Knowledge of Docker, Kubernetes, and GPU workload deployment.
• Experience with on-premises or cloud-based GPU infrastructure.
• Ability to explain complex technical concepts through practical sessions.

Qualifications

• Experience delivering technical training or mentoring engineers.
• Experience with NVIDIA BCM (Base Command Manager).
• Knowledge of AI/ML infrastructure and LLM deployment.
• Experience in GPU cluster deployment and infrastructure support.

What We Expect

• Strong practical knowledge rather than theoretical training alone.
• Ability to conduct online training sessions with hands-on guidance.
• Ability to prepare structured training modules and practical assignments.
• Willingness to guide trainees throughout the training program.