Senior Technical Instructor - AI and Data Science

We are looking for an exceptional technical training content developer and instructor with expertise in AI and Data Science to join NVIDIA’s training team. In this role, you will lead the creation and delivery of technical content supporting NVIDIA's AI and data science products and services. This content encompasses hands-on workshops, instructor-led sessions, and e-learning materials.

NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables outstanding creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We invite you to stand at the forefront of technological advancement, by crafting exceptional training content that drives progress and innovation.

What You’ll Be Doing

• Content Development: Develop training materials based on NVIDIA's innovative AI and data science technologies.
• Training Delivery: Conduct face-to-face and remote training sessions for NVIDIA’s customers and partners. Willing to travel up to 25% is required .
• Collaboration: Collaborate with internal and external subject matter experts (SMEs) to draft course proposals aligned with market trends and customers' requirements.
• Lab-Based Training: Create engaging lab-based training, incorporating diagrams, explanatory videos, and interactive hands-on exercises.
• Feature Integration: Collaborate with SMEs to integrate key features of NVIDIA solutions into project-based learning experiences.
• Instructor Support: Develop instructor delivery notes, certification criteria, and assessment materials.
• Quality Assurance: Participate in internal test deliveries to ensure high-quality learning experiences. Actively seek feedback from students, and industry partners to enhance course content.
  
  

• Bachelor's degree in computer science, mathematics, data science, engineering, or an equivalent level of expertise and experience.
• Proficiency in Python and C++ programming languages (sample code is requested ). Familiarity with parallel programming, such as CUDA, is advantageous .
• 5 years of experience in modern deep learning software architecture and frameworks, which may encompass Caffe, TensorFlow, cuDNN , PyTorch .
• 3 years of experience in Data Scientist software such as Pandas, Scikit-learn, RAPIDS, and Triton Inference Server related solutions.
• Proficiency in delivering training and presentations, with the ability to effectively communicate technical concepts to diverse audiences.
• Strong communication , interpersonal, and writing skills in English (sample requested ).
• Ability to work multi-functionally across different levels of a matrixed organization.
  
  

• Experience in developing and delivering in-depth hands-on and training for technical audiences.
• Experience with LLM (Large Language Models) and transformer-based models.
• Development experience in cloud-based Linux environments and tools such as Docker containers, Kubernetes, and cloud service providers (AWS, Azure, GCloud ).
• Proven experience optimizing workloads with GPU, like CUDA, CuDNN and TensorRT .
• A master's degree in computer science, mathematics, data science, engineering, or an equivalent level of expertise and experience.