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Nvidia Solution Architect - Telco 
Germany, North Rhine-Westphalia 
224802453

02.07.2025
Germany, Munich
UAE, Dubai
Sweden, Gothenburg
Poland, Warsaw
UAE, Remote
time type
Full time
posted on
Posted 27 Days Ago
job requisition id

What you will be doing:

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

  • Realize our AI vision by introducing NVIDIA technology in telecommunication applications for management and operation, and for cloud and edge computing (NFV).

  • 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 hardware, networking software system development, or systems engineering.

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

  • Significant experience in AI/ML/DL, big data analytics, and telco applications.

  • 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:

  • 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.