Senior Solutions Architect, Telco

NVIDIA•Santa Clara, WA
•$184,000 - $356,500

About The Position

NVIDIA is hiring a Senior Solutions Architect to drive technical engagement with T-Mobile, AT&T, and Verizon accounts as part of its Telco Solutions Architect team. The role connects real-world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale NVIDIA platforms. The architect serves as a trusted technical advisor, bridges customer challenges to solutions, and supports customers and partners as a strategic resource. The position involves co-designing scalable architectures, validating and supporting solutions hands-on, leading technical engagements and issue resolution, and translating customer needs into insights for NVIDIA product and engineering teams. It also focuses on technical enablement and adoption of NVIDIA SDKs, frameworks, systems, networking tools, and platforms, in collaboration with engineering and product teams.

Requirements

  • Bachelor’s or master’s degree, or equivalent experience, in Computer Science, Engineering, or a related field.
  • At least 8 years of professional experience across software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.
  • At least 3–5 years of direct, hands-on telecommunications industry experience with Tier-1 operators or service providers, or customers or partners in the telecom space.
  • Deep technical expertise in the telecommunications service provider stack, with a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.
  • Ability to communicate complex technical ideas clearly to technical and non-technical audiences, from engineers to C-level executives.
  • Ability to balance empathy for Telco customer needs with driving complex product decisions through trusted relationships.

Nice To Haves

  • Background in wireless communication systems or digital signal processing and a passion for building AI Autonomous Networks.
  • History of enabling customers or partners to successfully adopt NVIDIA technologies and platforms.
  • Experience with modern application deployment practices, including Docker/Containers and Kubernetes.
  • Experience with modern Agentic AI architecture and frameworks.
  • Hands-on experience with AI inference workloads, networks, and tools.
  • Exposure to CUDA/GPU programming.

Responsibilities

  • Understand complex or large-scale customer workloads and map them to NVIDIA’s technology stack to achieve measurable outcomes.
  • Co-design advanced, scalable architectures with customers or ISV partners, defining technical direction, integration milestones, and deployment plans.
  • Design, validate, and support technical solutions to enable customer and partner success.
  • Identify gaps between customer needs and NVIDIA offerings and communicate insights that can shape internal product and engineering priorities.
  • Lead technical engagements, help customers troubleshoot and resolve complex issues, and advocate for their technical needs.
  • Drive technical enablement and platform adoption by helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.
  • Partner with engineering and product teams to support successful deployment and continuous improvement of NVIDIA solutions.
  • Anticipate telecom ISV partners’ and customers’ needs and identify enablement opportunities to expand adoption and utilization of NVIDIA networking tools and platforms.

Benefits

  • Equity
  • Benefits
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