Senior Solutions Architect – Telco

NVIDIA

Solutions Architect driving the design and deployment of large-scale AI GPU infrastructures for NVIDIA Cloud Partners. Collaborating with cross-functional teams and managing technical customer engagements with up to 40% travel.

Posted 7/3/2026full-timeSanta Clara • California, Colorado, New Jersey, Texas, Washington • 🇺🇸 United StatesSenior💰 $152,000 - $241,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Solution Engineering with a focus on GPU Cloud infrastructure and applications, leveraging strong programming skills in Python and experience with Deep Learning frameworks like PyTorch and TensorFlow. Capable of managing complex technical engagements and delivering impactful presentations to diverse stakeholders.

Highest-signal resume keywords

Solution EngineeringGPU Cloud InfrastructurePython ProgrammingDeep Learning FrameworksTechnical Presentations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solution EngineeringCloud EngineeringDistributed Cloud ArchitecturesLarge-Scale Cluster EnvironmentsSoftware DesignModel Fine TuningApplication IntegrationTechnical Content DeliveryOptimizationsProgramming

Soft Skills

CollaborationCommunicationTime ManagementSelf-StarterContinuous Learning

Tools & Technologies

PyTorchTensorFlowGPU PlatformsReference ArchitecturesWorkshopsPublications

Industry Keywords

NVIDIACloud PartnersTechnical EngagementsCustomer LifecycleBusiness Opportunities

Tech Stack

Tools & technologies

CloudPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications.
Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.
Up to 40% travel may be required.

Requirements

What you’ll need

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
6+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures.
Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.
Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.
Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams.
Efficient time management and capable of balancing multiple tasks.
Excellent presentation, communication and collaboration skills.
Self-starter with a passion for growth, continuous learning, and sharing insights.

Benefits

Comp & perks

equity
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