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Solutions Architect, CSP GTM

NVIDIA· Architect, Solutions
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Hybrid (Germany)$0Full-timePosted 1mo ago

About the role

Solutions Architect focused on Physical AI and Generative AI with Hyperscaler partners, enabling customer and partner productivity and evangelizing accelerated computing across NVIDIA and CSP ecosystems.

Responsibilities

  • Develop and demonstrate Physical AI solutions based on Hyperscalers and NVIDIA’s software and hardware technologies to developers
  • Work directly with key customers and Hyperscaler partners to understand challenges and provide optimal solutions based on NVIDIA products
  • Perform in-depth analysis and optimization to ensure best performance on GPU-accelerated systems, including optimization of training and inference pipelines
  • Partner with Engineering, Product and Sales teams to understand developers’ challenges and plan for the best suitable solutions; enable development and growth of product features through customer feedback and PoCs
  • Build industry expertise and contribute to integrating NVIDIA technology into Enterprise Computing architectures

Qualifications

  • MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields
  • 5+ years in Solutions Architecture/Engineering in AI-related domains
  • Excellent verbal and written communication skills; comfortable presenting technical solutions in English
  • Expertise with Physical AI solutions on Hyperscaler infrastructure
  • Proven track record of academic and/or industry experience in machine learning, deep learning, and/or data science
  • Experience working with multiple levels and teams across organizations (Engineering, Product, Sales, Marketing)
  • Self-starter with interest in growth, passion for continuous learning and sharing findings across the team

Skills

Required:Communication (verbal and written)Physical AIGPU-accelerated systemsHyperscaler platforms
Nice to have:Proof-of-concept (PoC) development
Last updated Sep 11, 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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