Nvidia Gen AI Product Evangelist Engineer Retail 

United States, Texas 

895110653

What you will be doing:

• Develop customer facing multi-modal Generative AI demos specific to Retail 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 Retail and QSR.

• 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.

• Collaborate with our engineering and development teams working on groundbreaking LLM technologies and drive our internal validation for our GPU accelerated Retail workflows.

• Partner with our business / account team working with customers to develop a keen understanding of their goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.

• You will help channel customer usability feedback from the external community back 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 experience with deep domain expertise in NLP and LLM.

• 8+ years of meaningful work experience in software development, technical evangelism, technical marketing, or similar at a technology company.

• 1+ year of experience with 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. Embedded C/C++ 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:

• Experience with LLM and RAG.

• Experience with parallel programming and design practices using GPUs.

• CUDA programming and optimization experience.

• Experience working with Google Vertex AI and GKE.

• Experience with NVIDIA GPUs and SDKs, especially NVIDIA Nemo.

• Published record of thought leadership in a technical area or industry segment.