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NVIDIA

Senior Solutions Architect, Telco

Reposted 2 Days Ago
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In-Office or Remote
3 Locations
184K-357K Annually
Senior level
In-Office or Remote
3 Locations
184K-357K Annually
Senior level
Leads technical engagements with Tier-1 telecommunications customers and partners, mapping workloads to NVIDIA technologies. Designs scalable architectures, integration milestones, and deployment plans; validates solutions; troubleshoots complex issues; enables platform adoption; and communicates customer needs to engineering and product teams. The role requires deep telecom stack expertise, customer-facing technical leadership, and experience with software, hardware, AI inference, networking, containers, Kubernetes, and potentially CUDA/GPU programming.
The summary above was generated by AI

We’re hiring a Senior Solutions Architect to drive technical engagement with T-Mobile/AT&T/Verizon accounts across the Telco Solutions Architect team. In this role, you’ll connect real-world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you’re excited about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you


What you’ll be doing:

  • 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.

What we need to see:

  • 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.

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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

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