Senior Solutions Architect, AI Cloud Services

What you’ll be doing:Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc. What we need to see:BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.7+ years of Solutions Engineering (or similar Sales Engineering roles) experience.Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCIKnowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.Effective time management and capable of balancing multiple tasks.Ability to communicate ideas clearly through documents, presentation, etc. Ways to stand out from the crowd:AWS, GCP, Azure or OCI Professional Solution Architect CertificationsHands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.)Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.Solid working knowledge of PythonSystem-level experience, specifically GPU-based systems