55 applicants

Company

Original Job Post

NVIDIA · 5 days ago

Gen AI Product Evangelist Engineer

United States

Full-time

Remote

Senior Level

$160K/yr - $310K/yr

8+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

Artificial Intelligence (AI)GPU

H1B Sponsorship

Growth Opportunities

Insider Connection @NVIDIA

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

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 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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Software DevelopmentTechnical EvangelismTechnical MarketingDeep LearningMachine LearningContent GenerationApplication DeploymentDockerContainersKubernetesDeep Learning Software ArchitectureEmbedded C/C++Python ProgrammingDemo DevelopmentProduct TranslationProblem-SolvingTime ManagementOrganizationCollaborationPresentationLLMRAGParallel programmingDesign practicesGPUsCUDA programmingOptimizationNVIDIA GPUsSDKsNVIDIA Nemo

Required

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.

Preferred

Experience with LLM and RAG.

Experience with parallel programming and design practices using GPUs.

CUDA programming and optimization experience.

Experience with NVIDIA GPUs and SDKs, especially NVIDIA Nemo.

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

Benefits

Equity

Company

NVIDIA

Glassdoor

4.6

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Founded in 1993

Santa Clara, California, USA

10,001+ employees

https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (735)

2022 (892)

2021 (696)

2020 (534)