Tech Stack

Description

As an intern, you will support customers in adopting and scaling AI workloads on GPU cloud infrastructure. You'll gain exposure to ML frameworks and large-scale GPU systems while working with senior architects on designing and documenting AI solutions.

Requirements

• Pursuing or recently completed degree in CS, Engineering, Data Science or related field
• Solid understanding of ML concepts and workflows
• Familiarity with at least one ML framework (PyTorch, TensorFlow, or JAX)
• Comfort with programming in Python
• Interest in cloud infrastructure, GPUs, and large-scale AI systems

Responsibilities

• Assist in designing and documenting AI/ML solutions
• Learn how distributed training and inference workloads run on multi-GPU cloud systems
• Help prepare technical materials (presentations, documentation, tutorials, demos)
• Participate in troubleshooting and optimization tasks under guidance