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 the pay of employees in similar positions. The base salary range is 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.
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.Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience
- 8+ years of professional experience in software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management
- 3-5+ years of hands-on telecommunications industry experience with Tier-1 operators, service providers, or telecom customers and partners
- Deep technical expertise in the telecommunications service provider stack
- Experience driving product integrations and contributing to software, hardware, platforms, systems, or libraries
- Ability to communicate complex technical ideas to technical and non-technical audiences, including engineers and C-level executives
- Experience balancing customer needs with complex product decisions through trusted relationships
- Background in wireless communication systems or digital signal processing
- Experience enabling customers or partners to adopt NVIDIA technologies and platforms
- Experience with Docker or containers and Kubernetes
- Experience with modern Agentic AI architectures and frameworks
- Hands-on experience with AI inference workloads, networks, and tools
- Exposure to CUDA or GPU programming
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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