Gen AI Product Evangelist Engineer, Supply Chain

We are looking for a Product Evangelist Engineer to craft the fundamental technical content and Supply Chain Blueprints educating developers how to build multi-modal Gen AI applications using NVIDIA accelerated Computing platform. The role will primarily focus on building Gen AI demos, and blueprints (AI Workflows) for building the most efficient supply chain Gen AI use cases in Retail through video tutorials, technical blog posts, user guides, walk-throughs, and more. This material is essential in teaching developers about the latest advancements in NVIDIA Nemo platform, Nemo Data Designer and Nemotron models, , which includinges multi-modal models, data curation, fine-tuning techniques, guardrails and inference optimization. Our Product Evangelist Engineers are drawn from best-in-class developers and scientists who enjoy working with the latest in GPU hardware and NVIDIA acceleration software! NVIDIA GPUs are used by the top Gen AI companies including Open AI, Mistral, Anthropic and Meta (Llama X). This role will collaborate closely with our talented Retail Solution engineers who are working with customers and will develop demos of various use cases of Gen AI in Retail and supply chain. Our success has been based on laser-focused industry vertical business development, building a strong developer ecosystem and scaling out the business using a partner channel and creative marketing. We need a technical and creative individual to help us pursue more of these opportunities in Retail and CPG Supply Chain. What you will be doing: Develop customer facing multi-modal Generative AI demos specific to Retail and CPG Retail supply chain and QSR use cases and document the script, set-up environment for partners and solution architects to leverage. Collaborate with internal and external LLM engineers and researchers to build product-based training material and how-to technical content and videos. Develop workshops, Jupyter notebooks and AI Workflows to help developers build multi-modal Gen AI models for Supply Chain. Document what you know and guide others. This can vary from building targeted training for partners, Solutions Architects and other internal stakeholders, to writing whitepapers, blogs, and to simply work through hard problems with a customer on a whiteboard. Be the evangelist and champion for NVIDIA Accelerated Computing Platform and Nemo Microservices to Retail customers and developer community. Partner with our engineering and development teams working on groundbreaking LLM technologies and drive our internal validation for our GPU accelerated Retail workflows. You will help with external community usability feedback to the internal teams to improve our product capabilities. What we need to see: Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent. 8+ years of meaningful work experience in software development, technical evangelism, technical marketing, or similar. 2+ years of deep domain expertise with LLM, deep learning or machine learning. Strength presenting to technical audiences and generating content for developers Experience working with state of the art application deployment practices including but not limited to Docker/Containers and Kubernetes. Experience with modern Deep Learning software architecture and frameworks. and Python programming skills. Strong written and demo development skills with the ability to effectively collaborate with management and engineering. Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into complex projects. A keen sense for product and innate ability to translate product value propositions to compelling demonstrations Strong analytical and problem-solving skills. Ways to stand out from the crowd: Full stack developer with front-end and back-end expertise. Experience fine-tuning LLM models and RAG Experience with CUDA programming and design pract ... (truncated, view full listing at source)