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What you will be doing:
Be an inspiring leader on integrating NVIDIA technology into telco IT/OT architectures from cloud data centers to the edge.
Document and demonstrate advancements in accelerated computing & AI applications through targeted trainings, sharing sessions, whitepapers, blogs, and wiki articles.
Develop a keen understanding of customer’s goals and needs, deliver high-value solutions, and support technical trials, proof-of-concepts and customer adoption.
Lead technical project aspects of complex deployments, including design-in opportunities and responding to RFP/RFI proposals for AI software integration, or edge / cloud / datacenter deployments.
What we need to see:
MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields (or equivalent experience).
5+ years of work-related shown industry experience in telecommunication industry, networking, data center design, or systems engineering.
Experience in lifecycle management and AI workload orchestration on cloud-native platforms.
An ability to switch between high-level systems view and low-level detail view of complex systems and to understand, promote and troubleshoot full-stack solutions and designs.
Ability to take a technical leadership role in a project.
Excellent written and oral communication skills with the ability to communicate with customers effectively.
Strong time-management and organization skills.
Strong analytical and problem-solving skills.
Ways to stand out from the crowd:
Experience with NVIDIA technologies.
Knowledge of generative AI software architecture and frameworks.
Experience working with cloud-native application deployment practices including Docker/Containers, Kubernetes, and cloud-scale orchestration.
Experience with NVIDIA AI platform and tools.
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