Gen AI Product Evangelist Engineer, Retail

Job Description

The Product Evangelist Engineer role at NVIDIA involves crafting technical content to educate developers on building multi-modal Gen AI applications using NVIDIA accelerated Computing platform, with a focus on Retail use cases.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or similar field or equivalent experience
• 12+ years of meaningful work experience in software development, technical evangelism, technical marketing, or similar
• 3+ years of experience of deep domain expertise with LLM, deep learning and 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

Responsibilities

• 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 and guide others in building targeted training, writing whitepapers, blogs, and working through problems with customers
• Be the evangelist and champion for NVIDIA Accelerated Computing Platform and Nemo Microservices to Retail customers and developer community
• Collaborate with engineering and development teams working on groundbreaking LLM technologies and drive internal validation for GPU accelerated Retail workflows
• Help with external community usability feedback to improve product capabilities

Benefits

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching