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About The Position

NVIDIA is seeking an ambitious and forward-thinking solution architect to enable Network Industry Software Vendors (ISVs). These ISVs are developing a network stack for distributed inference to orchestrate wide area networks/cloud Networks, enabling a workload-aware network for routing, securing, and load balancing inference. As part of the Telco Solution Architecture team, the successful candidate will work in a diverse, supportive environment, contributing to the application of AI inference-aware technology to existing networks. NVIDIA is a world leader in accelerated computing, pioneering solutions for complex challenges and transforming industries with AI and digital twins.

Requirements

  • MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, or related fields (or equivalent experience).
  • 10+ years of relevant work experience in developing and deploying networks at scale as a Software Engineer or network architect.
  • Proven track record of building cloud-grade networks using open-source tools and orchestration frameworks with strong foundation Network topology and observability.
  • Expertise in Telecom Networks: Strong knowledge of network telemetry, logs, SNMP, NetFlow/IPFI.
  • Excellent communication and presentation skills to effectively collaborate with both internal and external customers.

Nice To Haves

  • Hands-on experience with Inference workloads, networks, and tools.
  • Understanding Telecom network infrastructure: Knowledge of SDN/NFV, Security and cloud-native networking solutions.
  • Knowledge of networking stacks and architecture in cloud environments.

Responsibilities

  • Applying NVIDIA and OSS tools to define, build and orchestrate inference solutions.
  • Enabling NVIDIA strategic Telecom ISVs to deploy and support the design defined above.
  • Collaborate with developers and onboard them to AI-Grid platforms and SDKs by providing deep technical guidance.
  • Anticipate Telecom ISV partners and customers needs and find enablement opportunities to expand adoption and utilization of NVIDIA networking tools and platforms.
  • Establish and build repeatable reference architectures of AI-Grid Networking, communicating standard processes and understanding solution trade-offs.
  • Share findings and feedback to enhance products and services.
  • Help customers design high-performance and secure workload aware networks.
  • Advise on building efficient, scalable workflows using NVIDIA libraries and SDKs.

Benefits

  • equity

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

Career Resources

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