Senior Technical Instructor - AI Infrastructure

Posted:
8/25/2024, 5:47:10 PM

Experience Level(s):
Senior

Field(s):
AI & Machine Learning ⋅ DevOps & Infrastructure ⋅ Software Engineering

Workplace Type:
Hybrid

We are looking for an exceptional technical instructor and content developer to deliver workshops related to NVIDIA AI compute and network solutions. This role will take active part in crafting high-quality training content including, hands-on workshops, instructor-led and e-learning courses, for NVIDIA's partners, customers and end-users. The work involves collaborating with internal and external subject matter experts to develop training, focusing on how to design, deploy, configure, optimize and manage accelerated computing solutions across a wide range of workloads such as AI, ML/DL, data science, and high performance computing.

What you'll be doing:

  • Deliver remote and in-person technical training related to NVIDIA's AI Infrastructure solutions

  • Develop high-quality hands-on workshops and e-learning training for NVIDIA’s customers, partners and end-users, as an integral member of the NVIDIA Education Services content development team, which includes:

  • Partnering with subject matter experts (SMEs) from NVIDIA and industry-leading organizations to draft training proposals aligned with key market segments and developer audience.

  • Creating lab-based training that includes compelling diagrams, explanatory videos, interactive hands-on exercises/assessments to leverage NVIDIA solutions by collaborating with internal and external subject matter experts to help them solve real-world problems.

  • Collaborating with SMEs to integrate key features of NVIDIA solutions into compelling, project-based learning experiences.

  • Developing instructor delivery notes, certification criteria and assessment materials.

  • Participating in internal “test-flights” and dry-run deliveries to ensure high-quality training material and that instructors are prepared to consistently deliver high-quality an exceptional learning experience.

  • Engage with regional teams to support training localization and deployment.

  • Actively seeking feedback from instructors, students, and industry partners to up-level the training.

  • Peer-reviewing, copy editing and providing feedback on training developed by other members of the team.

What we need to see:

  • Bachelor degree in computer science/engineering, or equivalent experience.

  • 5 years of professional experience and 2+ years technical experience with data center related technologies such as Linux servers administration, networking, virtualization, storage, AI, ML/DL, accelerated computing, or data science.

  • Proven Linux admin, Bash/Python scripting, installing VMs, and storage arrays.

  • Strong communication, interpersonal and writing skills (sample requested).

  • Ability to work cross-functionally across many levels of a matrixed organization.

  • Prior success balancing multiple projects in parallel.

Ways to stand out from the crowd:

  • Background in building in-depth hands-on and virtual training for technical audience

  • Experience presenting high-quality training workshops to professional technical audience

  • Familiarity with IT datacenter design, optimization and management.

  • Proven experience in configuring L2/L3 networking protocols such as BGP, LAG, MLAG and VxLAN.

  • MS degree in computer science/engineering or related domain science

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality