Posted:
5/19/2024, 5:00:00 PM
Location(s):
Tel-Aviv, Tel-Aviv District, Israel ⋅ Raanana, Center District, Israel ⋅ Tel-Aviv District, Israel ⋅ Center District, Israel
Experience Level(s):
Senior
Field(s):
DevOps & Infrastructure ⋅ Software Engineering
Workplace Type:
Remote
Join NVIDIA's education-services team as a dynamic technical trainer and content developer. We're seeking an exceptional individual with expertise in networks, server administration, containerized environments, storage and orchestration tools to lead the delivery and development of technical content related to NVIDIA's AI infrastructure and software solutions. As a key member of our team, you'll collaborate with internal and external experts to design and deliver lab-based training that empowers customers and partners to manage and optimize accelerated computing solutions across diverse workloads, including deep learning, data science, and high-performance computing.
What you’ll be doing:
Training Delivery: Conduct engaging face-to-face and remote training sessions for NVIDIA's customers and partners, with flexibility for up to 25% travel.
Content Development: Craft cutting-edge training materials aligned with NVIDIA's innovative AI and data center technologies.
Collaboration: Work closely with domain experts to develop course proposals that meet market demands and customer needs.
Lab-Based Training: Design interactive lab exercises enriched with diagrams, videos, and hands-on experiences.
Instructor Support: Develop comprehensive instructor resources, certification criteria, and assessment materials.
What we need to see:
B.Sc. or M.Sc. in computer science, mathematics, engineering or equivalent experience.
Minimum 5 years of professional experience, including at least 2 years in data center-related technologies (networking, server administration, storage, virtualization, accelerated computing).
Hands-on experience administering Linux servers, scripting (BASH, CSH, etc.), and managing storage arrays.
In-depth knowledge and hands-on experience of L2 and L3 networking protocols such as MLAG, BGP, EVPN, VxLAN.
Proficiency in cloud-based Linux environments, and relevant tools (SLURM, Kubernetes, Docker, Git, Python, CUDA, RAPIDS).
Strong presentation and written communication skills in English.
Ability to collaborate effectively across various levels of a matrixed organization.
Ways to stand out from the crowd:
Experience developing hands-on and virtual training for technical audiences.
Familiarity with NVIDIA AI infrastructure solutions.
Relevant certifications; CCNP or higher, RHCSA, InfiniBand Professional, Cumulus Professional or higher, Certified K8 administrator.
Proven track record of delivering high-quality training workshops to technical.
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