Nvidia Senior Account Manager Higher Education Research 

United States, Texas 

684058966

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 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 experience.

• 8+ 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.

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 practices using GPUs.

• Background with NVIDIA GPUs and SDKs, especially with ,

• Published record of thought leadership in a technical area or industry segment published on Github or other platforms.