About The Position

NVIDIA is seeking an ambitious and forward-thinking Senior Solutions Architect to facilitate the enablement of Network Industry Software Vendors (ISVs). These ISVs are developing a network stack for distributed inference, which will be utilized to orchestrate wide area networks and cloud networks, enabling a workload-aware network for routing, securing, and load balancing inference. As a member of the Telco Solution Architecture team, the architect will operate within a diverse and supportive environment, contributing to the application of AI inference-aware technology to existing networks. The role involves defining, building, and orchestrating inference solutions using NVIDIA and open-source tools, as well as collaborating with developers to onboard them onto AI-Grid platforms and SDKs by providing in-depth technical guidance. The architect will also anticipate the needs of Telecom ISV partners and customers to identify enablement opportunities, expand the adoption and utilization of NVIDIA networking tools and platforms, and establish repeatable reference architectures for AI-Grid Networking. This includes communicating standard processes, understanding solution trade-offs, and sharing feedback to enhance products and services. Furthermore, the position requires assisting customers in designing high-performance and secure workload-aware networks and advising on the creation of efficient, scalable workflows using NVIDIA libraries and SDKs.

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
  • benefits

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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

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