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# Senior Solutions Architect, Telco

- **Company:** NVIDIA Ltd.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $184,000 - $356,500
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Nvidia CUDA, Computer Engineering, Software Deployment, Gpu Programming, Agentic-AI, Kubernetes, Information Technology, Model Inference, Docker, Service Stack
- **Published:** October 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b9a10c006a2e86dd

## About the Role

* Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
 * 8+ years of professional experience in Industry background spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management - with 3-5+ years of direct, hands-on experience in the telecommunications industry with Tier-1 operators/service providers, or customers/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.
 * Demonstrated ability to communicate complex technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives.
 * A track record of balancing empathy for Telco customer needs with the ability to drive complex product decisions through trusted relationships.
 * Our ideal candidate has a background in wireless communication systems or digital signal processing and a passion for building AI Autonomous Networks.
 * Anticipate Telecom ISV partners' and customers' needs and find enablement opportunities to expand adoption and utilization of NVIDIA networking tools and platforms. Our ideal candidate has a background in wireless communication systems or digital signal processing and a passion for building AI Autonomous Networks.
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Ways to Stand Out from the Crowd :

 * History of enabling customers and/or partners to successfully adopt NVIDIA technologies and platforms.
 * Experience working with modern application deployment practices, including but not limited to 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 is a plus.
*

## Description

* Serve as a trusted advisor who understands complex or large-scale customer workloads and maps 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.
 * Engage hands-on with deep technical topics-designing, validating, and supporting solutions that enable customer and partner success.
 * Identify gaps between customer needs and NVIDIA offerings, communicating insights that shape internal product and engineering priorities.
 * Lead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs.
 * Drive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems. Partner cross-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions.
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