Position: GPU Infrastructure / HPC Trainer

We are looking for an experienced GPU Infrastructure Trainer with strong hands-on technical expertise in GPU infrastructure, HPC environments, server deployment, and cluster networking.

The selected trainer will be responsible for delivering technical training sessions, developing practical learning modules, and guiding trainees through real-world GPU infrastructure deployment and configuration scenarios.

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.

Required Technical Skills:

- Solid 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.

Preferred 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.

? Interested candidates / trainers: Please share your updated resume and relevant GPU infrastructure project experience. #Hiring #GPUInfrastructure #GPUTrainer #HPC #NVIDIA #InfiniBand #CUDA #DevOps #AIInfrastructure #Kubernetes #CinergyTechnology

📌 GPU Infrastructure / HPC Trainer (Hyderabad)
🏢 Cinergy Technology
📍 Hyderabad