Senior Technical AI Instructor

th a willingness to travel up to 50% as required.

• Content Development: Develop training materials based on NVIDIA's innovative AI and data center technologies.

• Collaboration: Collaborate with internal and external subject matter experts (SMEs) to draft course proposals aligned with market trends and customers' requirements.

• Train the Trainers: Recruit and train internal team members to deliver specific sessions of workshops.

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have a diverse group of technology and industry specialists tackling today's most exciting problems. If you are partner focused, technically astute, creative and driven, we want to hear from you!

The base salary range is 188,000 USD - 299,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.