Senior Technical AI Instructor @ NVIDIA | Jobright.ai
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NVIDIA · 1 day ago

Senior Technical AI Instructor

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Artificial Intelligence (AI)GPU
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Growth Opportunities
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H1B Sponsor Likelynote

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Responsibilities

Conduct face-to-face and remote training sessions for NVIDIA’s customers and partners, with a willingness to travel up to 50% as required.
Develop training materials based on NVIDIA's innovative AI and data center technologies.
Collaborate with internal and external subject matter experts (SMEs) to draft course proposals aligned with market trends and customers' requirements.
Recruit and train internal team members to deliver specific sessions of workshops.
Create engaging lab-based training, incorporating diagrams, explanatory videos, and interactive hands-on exercises.
Collaborate with SMEs to integrate key features of NVIDIA solutions into project-based learning experiences.
Develop instructor delivery notes, certification criteria, and assessment materials.
Participate in internal test deliveries to ensure high-quality learning experiences. Actively seek feedback from students, and industry partners to enhance course content.

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.

Training DeliveryAccelerated ComputingTechnical CommunicationSLURMKubernetesDockerGitPythonCUDARAPIDSAWSAzureGCPData Center TechnologiesSolutions Architect ExperienceGPU OptimizationMulti-Functional CollaborationField Engineering Experience

Required

Proficiency in delivering training and presentations, with the ability to effectively communicate technical concepts to partner audiences.
Demonstrated ability to design and implement accelerated computing solutions. Familiarity with tools such as SLURM, Kubernetes, Docker containers, Git, Python, CUDA, RAPIDS, and cloud service providers (AWS, Azure, GCP) is essential.
A bachelor's degree in computer science, mathematics, engineering, or equivalent experience.
Minimum 12 years of technical field experience, with at least 5 years in data center-related technologies supporting AI such as storage, networking, or accelerated computing. Training delivery experience is required.
Strong communication, interpersonal, and writing skills in English.
Ability to work multi-functionally across different levels of a matrixed organization.

Preferred

Experience in delivering and developing in-depth training for technical selling audiences.
Proven experience in Field Engineering or Solutions Architect roles.
Experience in optimizing workloads with GPU, like CUDA, CuDNN and TensorRT.
A master's degree in computer science, mathematics, engineering, or equivalent level of expertise and experience.

Benefits

Equity and benefits

Company

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

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
Represents job field similar to this job
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity· undefined

Leadership Team

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Jensen Huang
CEO and Founder
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Chris Malachowsky
Co-Founder, SVP
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Company data provided by crunchbase
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