NVIDIA
Senior Solutions Architect, Industry Customer Success and Partnership – NVIS
NVIDIA, California, Missouri, United States, 65018
Senior Solutions Architect, Industry Customer Success and Partnership – NVIS
Join NVIDIA as a Senior Solutions Architect to drive enterprise-level networking, system design, and automation projects. You will work with customers, partners, and internal teams to analyze, define, and implement large‑scale networking projects for AI and HPC workloads.
What You'll Be Doing
Engage with NVIDIA Cloud Partners to drive initiatives, shape new business opportunities, and cultivate collaborations in AI, advancing our cloud solutions.
Identify and pursue new business opportunities for NVIDIA products and technology solutions in data centers and AI applications, collaborating with Engineering, Product Management, and Sales teams.
Serve as a technical specialist for GPU and networking products, partnering with sales account managers to secure design wins and 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 to support sales efforts.
Leverage strong technical presentation skills in English and confidence in developing POCs, maintaining a customer‑focused mentality and effective time management for concurrent requests.
Manage technical project aspects of complex data‑center deployments, including design‑in opportunities and responding to RFP/RFI proposals.
What We Need To See
BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other engineering fields with at least 8 years of networking fundamentals, TCP/IP stack, and data‑center architecture experience.
Ideal candidate possesses 8+ years of Solution Architect or similar Sales Engineering experience, demonstrating the motivation and skills to drive the technical pre‑sales process.
Deep expertise in data‑center engineering, GPU, and networking, including network topologies and server & 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 Kubernetes, Docker Swarm, and HPC‑specific schedulers such as Slurm.
Familiarity with cloud‑native technologies and their integration with traditional infrastructure.
Ways To Stand Out From The Crowd
Knowledge of InfiniBand and AI infrastructure.
Hands‑on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA networking technologies (e.g., DPU, RoCE, InfiniBand), ARM CPU solutions, and proficiency in C/C++ programming, parallel programming, and GPU development.
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, and data‑center compute/network/storage deployments.
Large‑scale systems management experience.
Experience with Python programming and AI workflow development and deployment (training/inference).
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.
Applications for this job will be accepted at least until November 8, 2025.
NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We do not discriminate in hiring or 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.
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What You'll Be Doing
Engage with NVIDIA Cloud Partners to drive initiatives, shape new business opportunities, and cultivate collaborations in AI, advancing our cloud solutions.
Identify and pursue new business opportunities for NVIDIA products and technology solutions in data centers and AI applications, collaborating with Engineering, Product Management, and Sales teams.
Serve as a technical specialist for GPU and networking products, partnering with sales account managers to secure design wins and 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 to support sales efforts.
Leverage strong technical presentation skills in English and confidence in developing POCs, maintaining a customer‑focused mentality and effective time management for concurrent requests.
Manage technical project aspects of complex data‑center deployments, including design‑in opportunities and responding to RFP/RFI proposals.
What We Need To See
BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other engineering fields with at least 8 years of networking fundamentals, TCP/IP stack, and data‑center architecture experience.
Ideal candidate possesses 8+ years of Solution Architect or similar Sales Engineering experience, demonstrating the motivation and skills to drive the technical pre‑sales process.
Deep expertise in data‑center engineering, GPU, and networking, including network topologies and server & 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 Kubernetes, Docker Swarm, and HPC‑specific schedulers such as Slurm.
Familiarity with cloud‑native technologies and their integration with traditional infrastructure.
Ways To Stand Out From The Crowd
Knowledge of InfiniBand and AI infrastructure.
Hands‑on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA networking technologies (e.g., DPU, RoCE, InfiniBand), ARM CPU solutions, and proficiency in C/C++ programming, parallel programming, and GPU development.
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, and data‑center compute/network/storage deployments.
Large‑scale systems management experience.
Experience with Python programming and AI workflow development and deployment (training/inference).
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.
Applications for this job will be accepted at least until November 8, 2025.
NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We do not discriminate in hiring or 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.
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