Senior Technical Instructor - AI and Data Center Infrastructure
US, TX, Remote, United States
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.
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.
8+ 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
Proven experience in configuring L2/L3 networking protocols such as BGP, LAG, MLAG and VxLAN.
Experience presenting high-quality training workshops to professional technical audience
Familiarity with IT datacenter design, optimization and management.
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!
The base salary range is 160,000 USD - 304,750 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. ApplyJob Profile
Benefits Comprehensive benefits Diversity Eligible for Equity Equity Equity and benefits Work environment
Tasks- Collaborate with SMEs
- Create lab-based training
- Deliver technical training
- Develop training content
- Education
- Engage with regional teams
- Participate in test-flights
- Peer-review training materials
- Training
Accelerated Computing AI Ai infrastructure Bash BGP Communication Compute Content development Data center Data Center Infrastructure Data Science Deep Learning Deployment Editing Engineering High Performance Computing Infrastructure Interpersonal L2/L3 Networking LAG Linux Machine Learning ML MLAG Networking Networking Protocols NVIDIA Optimization Organization Python Scripting Servers Storage Support Training Virtualization VM Installation VXLAN Writing
Experience8 years
EducationBachelor Bachelor's degree Computer Science Data Science Engineering Equivalent Equivalent experience Master's degree MS
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9