NVIDIA
Senior Solutions Architect, Telco
$184K–$356K
US, WA, Seattle +3 · Senior · Full-time · Posted Oct 27, 2026
- Location
- US, WA, Seattle
US, WA, Remote
US, CA, Remote
US, CA, Santa Clara - Experience
- 8+ years; includes 3-5+ years of direct, hands-on telecommunications experience.
- Education
- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
About the job
Drives technical engagements with major telecom accounts, designing and supporting architectures that connect customer workloads to NVIDIA technologies and enable platform adoption.
What you'll do
- Advise customers and partners, map workloads to NVIDIA technologies, and lead technical troubleshooting and engagements.
- Co-design scalable architectures and guide integration, validation, and deployment plans.
- Identify customer needs and product gaps, and partner with engineering and product teams to improve solutions and adoption.
What they ask for
- Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
- 8+ years of professional experience in relevant industry roles, including 3-5+ years of direct, hands-on telecommunications industry experience with Tier-1 operators/service providers or telecom customers/partners.
- Deep technical expertise in the telecommunications service provider stack and a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.
- Ability to communicate complex technical ideas to technical and non-technical audiences.
Nice to have
- Background in wireless communication systems or digital signal processing; passion for building AI Autonomous Networks.
- Experience with Docker/Containers, Kubernetes, Agentic AI architecture and frameworks, AI Inference workloads, or CUDA/GPU programming.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
NVIDIA SDKs, Docker/Containers, Kubernetes, Agentic AI, AI Inference, CUDA/GPU
AI focus
Build AI Autonomous Networks; experience with Agentic AI architecture and frameworks and AI Inference workloads is valued.
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