Partner Network Technical Instructor
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What you'll do
- Conduct face-to-face and remote training sessions for NVIDIA’s customers and partners, with a willingness to travel up to 75% is required.
- Support developing training materials based on NVIDIA's innovative AI and data centre technologies.
- Collaborate with internal and external subject matter experts (SMEs) to support drafting course proposals aligned with market trends and customers' requirements.
- Work and train internal and external team members to deliver specific sessions of workshops.
- Build engaging lab-based training, incorporating diagrams, explanatory videos, and interactive hands-on exercises for the EMEA Channel landscape.
- Collaborate with SMEs to integrate key features of NVIDIA solutions into project-based learning experiences.
- Support developing instructor delivery notes, certification criteria, and assessment materials.
- Support with interpersonal aspects of training and workshop delivery.
What they're looking for
- Proficiency in delivering training and presentations, with the ability to effectively communicate technical concepts to partner audiences.
- Demonstrated ability to craft 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 critical.
- A bachelor's degree or equivalent experience in computer science, mathematics, engineering, or a related field.
- Minimum 8+ 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. Additional language is a plus.
- Ability to work multi-functionally across different levels of a matrixed organization.
Nice to have
- Experience in delivering and developing in-depth training for technical selling audiences.
- Multi language preferred. English first language plus one additional. Preferable German or French.
- 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 experience.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for an exceptional Technical AI Instructor with expertise in AI data center workloads and technologies to join NVIDIA’s Channel enablement team. In this role, you will lead the delivery and to create of technical content supporting NVIDIA's channel partners. This individual is responsible for developing and delivering technical training workshops for a large EMEA channel community focused on selling NVIDIA’s AI enterprise solutions.
In this role, you will partner closely with NVIDIA’s Solutions Architect leaders, partner organization, sales, product, and technical marketing teams to ensure that partner field technical teams have the knowledge and skills necessary to effectively position, recommend, and implement NVIDIA AI solutions.
What you’ll be doing:
Conduct face-to-face and remote training sessions for NVIDIA’s customers and partners, with a willingness to travel up to 75% is required.
Support developing training materials based on NVIDIA's innovative AI and data centre technologies.
Collaborate with internal and external subject matter experts (SMEs) to support drafting course proposals aligned with market trends and customers' requirements.
Work and train internal and external team members to deliver specific sessions of workshops.
Build engaging lab-based training, incorporating diagrams, explanatory videos, and interactive hands-on exercises for the EMEA Channel landscape.
Collaborate with SMEs to integrate key features of NVIDIA solutions into project-based learning experiences.
Support developing instructor delivery notes, certification criteria, and assessment materials.
Support with interpersonal aspects of training and workshop delivery.
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 craft 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 critical.
A bachelor's degree or equivalent experience in computer science, mathematics, engineering, or a related field.
Minimum 8+ 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. Additional language is a plus.
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.
Multi language preferred. English first language plus one additional. Preferable German or French.
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 experience.
If you're ready to take on this outstanding opportunity and help NVIDIA continue to lead the world in technology innovation, apply now!
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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