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Nvidia Solution Architect - Telco Infrastructure 
United States, New York, New York 
514705499

24.06.2024

What you will be doing:

  • Provide technical advisory to partners and customers.

  • Educate them on new NVIDIA technologies and platforms.

  • Engage with customer field trials and technical teams.

  • Be a technical bridge between core product engineering team and partners/customers engineering team.

  • Document and share your findings through targeted trainings, sharing sessions, whitepapers, blogs, and wiki articles.

  • Realize the NVIDIA vision by integrating network architectures for telecommunication, cloud services, edge computing, network management, and security solutions.

  • Manage technical project aspects of complex data center deployments, including design-in opportunities and responding to RFP/RFI proposals.

  • Engage with NVIDIA Cloud Partners (NCP) to drive initiatives, shape new business opportunities, and cultivate collaborations in the field of Artificial Intelligence (AI).

  • We make heavy use of conferencing tools, but some travel is required for this role.

What we need to see:

  • MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields and 5+ years of work-related proven industry experience in telecommunication industry, networking hardware, networking software system development, or systems engineering or equivalent experience.

  • Experience in telecommunications networking concepts, in specific SDN/NFV, virtualization and cloud-native, edge compute (MEC), VNF eco-system, cybersecurity.

  • Experience in server systems architecture (processors, memory sub systems, etc.) including hands-on experience.

  • 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 collaborate with management and engineering.

  • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

  • Strong analytical and problem-solving skills.

Ways to stand out from the crowd:

  • Background with generative AI and Deep Learning software architecture and frameworks.

  • Experience working with modern and multi-tenant application deployment practices including but not limited to Docker/Containers, Kubernetes, and cloud-scale orchestration.

  • Experience with telecommunication systems or design tools.