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Senior Solutions Architect, Supercomputing

NVIDIA· Architect, Solutions
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Hybrid (US - Remote / Local), Hybrid (US - TX Remote), Hybrid (Santa Clara, CA)$184k - $356.5kfull-timePosted 6mo ago

About the role

Solutions Architect role focusing on engaging with customers, partners, and NVIDIA software engineers to deliver high-value solutions leveraging NVIDIA technology across HPC, ML/AI, and related workloads. Acts as trusted technical advisor to customers and internal teams, with emphasis on integrating NVIDIA tech into AI workflows, HPC, and enterprise GPU/network architectures while coordinating with partners and field teams.

Responsibilities

  • Partner with industry and account teams in a customer-facing role to develop understanding of customer goals, strategies, and technical needs and deliver high-value solutions.
  • Document knowledge and share through targeted samples, white papers, blogs, wiki articles, or hands-on customer work.
  • Be an industry leader with vision on integrating NVIDIA technology into AI workloads/workflows, HPC, and enterprise GPU and networking architectures for datacenter and edge deployments.
  • Strategically partner with lighthouse customers and industry-specific solution partners targeting NVIDIA computing platform.
  • Travel as required to support partners and customers; utilize conferencing tools as needed.

Qualifications

  • Bachelor's degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
  • 8+ years of experience in data science or software development with knowledge of GPU-based parallel computing.
  • Experience with modern application deployment practices including Slurm, Docker/Containers, and Kubernetes.
  • Experience with modern Generative AI and Agentic AI architectures and frameworks.
  • Strong written and oral communication skills and ability to educate customers and collaborate across teams.
  • Experience supporting customers/partners in technical engagements.
  • Strong organization and problem-solving skills for coordinating multiple initiatives and complex projects.

Skills

Required:GPU-based parallel computingSlurmDocker/ContainersKubernetesGenerative AI & Agentic AICommunication

Benefits

  • equity
  • benefits (as per company offerings)
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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