Description

You will architect and deploy AI solutions leveraging NVIDIA hardware and software on cloud platforms.

Responsibilities

• Build and deploy scalable solutions using NVIDIA AI software on cloud GPU platforms.
• Develop custom Proofs of Concept (PoCs) addressing critical customer business needs with NVIDIA technologies.
• Partner with Account Managers to identify and secure business opportunities for NVIDIA products.
• Conduct technical customer meetings covering product details, feature discussions, and debugging.
• Prepare and deliver technical content, including presentations and workshops, for customers.

Required Skills

• 7+ years of Solutions Engineering or similar Sales Engineering experience.
• Experience deploying AI/ML solutions in cloud environments (AWS, GCP, Azure, or OCI).
• Knowledge of DevOps/MLOps technologies, including Docker, Kubernetes, and data center deployments.
• Solid working knowledge of Python.
• System-level experience, specifically with GPU-based systems.
• Ability to communicate technical ideas clearly via documentation and presentations.
• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent experience.

Preferred Skills

• Hands-on experience with NVIDIA GPUs and SDKs (CUDA, Triton, TensorRT-LLM).
• Familiarity with AWS, GCP, Azure, or OCI Professional Solution Architect Certifications.

Key Skills

Education

Any Graduate