NVIDIA Deep Learning Institute (DLI) is searching for an exceptional course developer to craft hands-on learning experiences. The work involves collaborating with internal subject matter experts to build project-based hands-on training for Intelligent Video Analytics (IVA). This new instructor-led workshop will teach developers and data scientists the NVIDIA recommended techniques to solve challenging problems in the area of video analytics with NVIDIA’s SDKs and toolkits.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU accelerated deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are growing our company and building teams with the smartest people in the world.
What you'll be doing:
You will develop a high-quality hands-on instructor-led training course on IVA for developers, researchers, and data scientists. As a member of the DLI content development team, your activities will involve:
What we need to see:
Partnering with subject matter experts (SMEs) from NVIDIA to draft course proposal and establish learning objectives.
Developing a project-based storyboard that describes the learning experience and key assets, exercises, and assessments for the course.
Collaborating with SMEs to build training materials for the workshop, including compelling diagrams, interactive hands-on exercises/assessments that prepare developers to build IVA applications.
Developing instructor certification criteria and assessment materials, as well as instructor notes highlighting best practices for presenting the course live.
Participating in internal “test flight” and “dry-run” deliveries for the IVA course, to ensure course material is excellent and instructors are prepared to consistently deliver a high-quality learning experience.
Ways to stand out from the crowd:
Bachelor’s degree in computer science/engineering, or equivalent experience.
5+ years of professional experience and 2+ years experience with video-related software techniques such as motion estimation, classifying temporal and spatial events in the video, and custom video processing pipelines.
Strong communication, interpersonal, and writing skills (sample requested).
Ability to work cross-functionally across many levels of a matrixed organization.
Prior success handling multiple projects in parallel.
Experience building in-depth hands-on training for developers, or other technical audiences.
Experience using NVIDIA DeepStream, Transfer Learning Toolkit, or Metropolis.
MS degree in computer science/engineering or related domain science.
3+ years of industry experience building production applications using video analytics.
Development experience in cloud-based Linux environments.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!
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.