Job Summary:
NVIDIA is building the world’s leading AI company, and they are seeking an experienced Cloud Solution Architect to assist customers with the adoption of GPU hardware and software, as well as building and deploying machine learning solutions on cloud computing platforms. The role involves working directly with developers, researchers, and data scientists to drive end-to-end technology solutions based on business needs.
Responsibilities:
• Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s ML/DL and data science software and hardware technologies
• Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
• Build custom PoCs for solution that address customer’s critical business needs applying NVIDIA hardware and software technology
• Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions
• Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
• Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies. Establish close technical ties to the customer to facilitate rapid resolution of customer issues
Qualifications:
Required:
• 3+ years of Solutions Engineering (or similar Sales Engineering roles) or equivalent experience
• 3+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.
• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience.
• Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure
• Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, data center deployments
• Ability to use at least one scripting language (i.e., Python)
• Good programming and debugging skills
• Ability to communicate your ideas/code clearly through documents, presentation etc.
Preferred:
• AWS, GCP or Azure Professional Solution Architect Certification.
• Hands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton etc.)
• System-level experience specifically GPU-based systems
• Experience with Deep Learning at scale
• Familiarity with parallel programming and distributed computing platforms
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.