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Nvidia Solution Architect - Telco Infrastructure 
Sweden, Gothenburg 
550097126

01.12.2024

What you will be doing:

  • developing a keen understanding of their goals and needs, by defining and delivering high-value solutions, or by supporting technical trials.

  • Document and demonstrate advancements in accelerated computing & AIthrough targeted trainings, sharing sessions, whitepapers, blogs, and wiki articles.

  • Realize our AI vision by introducing NVIDIA technology in telecommunication solutions, cloud services, edge computing, network management, and security solutions.

  • Manage 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.

  • 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 lifecycle management and AI workload orchestration on cloud-native platforms.

  • Significant experience in high-performance computing, deep Learning, and telco network operation.

  • 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:

  • Background in 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 NVIDIA AI platform and tools.