Senior Solutions Architect, Industry Customer Success and Partnership – NVIS jobs in United States
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NVIDIA · 22 hours ago

Senior Solutions Architect, Industry Customer Success and Partnership – NVIS

NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. They are seeking a Senior Solutions Architect to join their Infrastructure Specialist Team, focusing on customer success and partnership initiatives in the field of AI and data analytics. The role involves engaging with cloud partners, identifying new business opportunities, and managing technical aspects of complex data center deployments.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote
Hiring Manager
Crystal Aggarwal (Crystal Amarante)
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Responsibilities

Engage with NVIDIA Cloud Partners (NCP) to drive initiatives, shape new business opportunities, and cultivate collaborations in the field of Artificial Intelligence (AI), contributing to the advancement of our cloud solutions
Identify and pursue new business opportunities for NVIDIA products and technology solutions in datacenters and artificial intelligence applications, closely collaborating with Engineering, Product Management, and Sales teams
Serve as a technical specialist for GPU and networking products, collaborating closely with sales account managers to secure design wins and actively engaging with customer engineers, management, and architects at key accounts
Conduct regular technical customer meetings to discuss project and product roadmaps, features, and introduce new technology solutions
Develop custom product demonstrations and Proof of Concepts (POCs) addressing critical business needs, supporting sales efforts
Strong technical presentation skills in English, confidence in developing Proofs-of-Concept, and a customer-focused mentality, coupled with good organization skills, a logical approach to problem-solving and effective time management for handling concurrent requests
Manage technical project aspects of complex data center deployments, including design-in opportunities and responding to RFP/RFI proposals

Qualification

Networking fundamentalsData center architectureGPU expertiseCloud orchestration softwareLinux kernel driversC/C++ programmingPython programmingTechnical presentation skillsProblem-solving skillsTime management

Required

BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture
Ideal candidate possesses 8+ years of Solution Architect or similar Sales Engineering experience, demonstrating motivation and skills to drive the technical pre-sales process
Deep expertise in datacenter engineering, GPU, networking, including a solid understanding of network topologies, server and storage architecture
Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture
Demonstrated expertise in cloud orchestration software and job schedulers, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm
Familiarity with cloud-native technologies and their integration with traditional infrastructure is essential
Strong technical presentation skills in English, confidence in developing Proofs-of-Concept, and a customer-focused mentality, coupled with good organization skills, a logical approach to problem-solving and effective time management for handling concurrent requests
Manage technical project aspects of complex data center deployments, including design-in opportunities and responding to RFP/RFI proposals

Preferred

Knowledge in InfiniBand and Artificial Intelligence infrastructure
Demonstrated hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), ARM CPU solutions, coupled with proficiency in C/C++ programming, parallel programming, and GPU development
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center compute/network/storage deployments
Large scale systems management experience
Experience with Python programming and AI workflow development and deployment (training/inference) would be advantageous

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase