Senior Telco Solutions Architect: AI-Driven Networking

NVIDIA Corporation; Seattle (WA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA is seeking a Senior Solutions Architect to drive technical engagement with major telco accounts and map complex workloads to NVIDIA’s hardware and software ecosystem. You’ll co-design architectures, lead hands-on engagements, and advocate for customer needs while collaborating with engineering and product teams.

The role emphasizes deep telecom expertise, ability to communicate with engineers and executives, and a focus on AI-enabled networks and modern deployment practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 8+ years of professional experience in software/hardware engineering, developer relations, partnerships, or product management.
• 3–5+ years of hands-on experience in the telecommunications industry with Tier-1 operators or telecom customers/partners.
• Deep technical expertise in the telecommunications service provider stack with track record of product integrations.

Responsibilities

• Serve as a trusted advisor for complex or large-scale customer workloads and map them to NVIDIA technology stack.
• Co-design scalable architectures with customers/ISV partners and define deployment plans.
• Engage hands-on with design, validation, and support of solutions enabling customer/partner success.
• Lead technical engagements, helping customers troubleshoot and advocate for technical needs.
• Drive enablement and platform adoption for NVIDIA SDKs, frameworks, and systems.

Education

Bachelor's degree or Master's degree in a related field

Tools

Docker

Kubernetes

Job description

NVIDIA is seeking a Senior Solutions Architect to drive technical engagement with major telco accounts and map complex workloads to NVIDIA’s hardware and software ecosystem. You’ll co-design architectures, lead hands-on engagements, and advocate for customer needs while collaborating with engineering and product teams.

The role emphasizes deep telecom expertise, ability to communicate with engineers and executives, and a focus on AI-enabled networks and modern deployment practices.