Deep Learning Instructor – AI

NVIDIA
NVIDIA

Job Overview

The NVIDIA Deep Learning Institute (DLI) trains developers, data scientists and researchers how to tackle meaningful problems using artificial intelligence and accelerated computing. We are looking for a specialist DLI Instructor for NVIDIA North America and Europe, based on the East Coast (e.g. Washington, D.C., New York, Boston). This position requires experience as a professional online and in-person instructor, excellent artificial intelligence (AI) knowledge and a shown understanding of the latest AI and accelerated computing trends and technologies. You will be responsible for developer education on NVIDIA deep learning products and tools. You will also be an excellent teammate and a good communicator with proven presentation abilities, able to work and thrive in a dynamic environment. This role presents an opportunity for an accomplished instructor with a capacity to learn quickly and exercise good judgment to gain in-depth experience driving growth in GPU-accelerated neural networks and machine learning training within the developer community.What you´ll be doing:* Deliver new and existing DLI training workshops as an NVIDIA Certified Instructor (CI).* Schedule and conduct Train-the-Trainer workshops and promote CI achievements to develop our community of Certified Instructors.* Promote business development activities in North America and Latin America (NALA) & Europe, Middle East and Africa (EMEA) by guiding customers through the deep learning tools for GPU Computing products.* Align Master Instructor (MI) and CI expertise with the Content Development team to help generate new content that is relevant, represents the direction of NVIDIA and keeps DLI at the forefront of AI.* Assist team in building education infrastructure based on NVIDIA technology.* Champion AI and accelerated computing among the NVIDIA technical community.* Partner with DLI Content Developers and our Certified Instructor Program Manager to define and implement technical requirements for Instructor Certification (criteria, application, assessment, interview, delivery) for each workshop.* Help guide strategic DLI customers by providing recommendations for DLI content aligned with their goals, team needs, background, criteria, etc.* Conduct instructor evaluations / interviews to assess and certify DLI instructor candidates.* Travel (up to 30%) for client deliveries and conferences.What we need to see:* 6+ years of AI experience.* BS CSE, CS or EE degree , Master’s degree preferred.* Professional experience delivering technical training both online and in-person.* Sophisticated knowledge of modern neural network architectures, machine learning algorithms and AI applications.* Customer facing skill set and background.* Python or C / C++ programming experience.* Parallel programming expertise is preferred.* Familiarity with GPU technology and CUDA programming.* Knowledge of OpenMP, MPI and other parallel programming languages is desirable.* Experience using PyTorch, TensorFlow, Caffe2 or other Deep Learning Frameworks.* Work history with technical computing customers – preferably supercomputing.* Ability to communicate effectively with customers.* Positive relationship and interpersonal skills.* Ability to multitask optimally in an energizing environment.* Good oral / written English communication skills.Wow us with your effective presentation skills training developers! We want to know about your programming background. Impress us with AI projects you have worked on! Highlight how you prioritized multiple high-priority projects at a time.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

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