Solutions Architect, CSP GTM

NVIDIA
France, Reading
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Communication","Self-starter","Continuous learning","Technical presentation","Team collaboration"]

Work as a Solution Architect for NVIDIA’s Worldwide Field Operations, collaborating with hyperscaler partners to deliver generative AI and data science solutions. Focus on a strategic GCP partnership—develop and demonstrate GPU-accelerated proof of concepts, analyze and optimize training and inference pipelines, and partner with Engineering, Product, and Sales to shape customer-driven capabilities. Build deep expertise in integrating NVIDIA technology into enterprise computing architectures.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Solutions Architect, CSP GTM

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Last checked: 6 hours agoStatus: Live

Job Summary

Work as a Solution Architect for NVIDIA’s Worldwide Field Operations, collaborating with hyperscaler partners to deliver generative AI and data science solutions. Focus on a strategic GCP partnership—develop and demonstrate GPU-accelerated proof of concepts, analyze and optimize training and inference pipelines, and partner with Engineering, Product, and Sales to shape customer-driven capabilities. Build deep expertise in integrating NVIDIA technology into enterprise computing architectures.
Location: France, Reading
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop and demonstrate solutions based on Hyperscalers and NVIDIA GenAI software and hardware technologies to developers.
  • •Work with customers and hyperscaler partners to understand challenges and provide solutions using NVIDIA products.
  • •Perform analysis and optimization for GPU-accelerated systems, including training and inference pipeline optimization.
  • •Partner with Engineering, Product, and Sales to plan suitable solutions and enable growth of product features through customer feedback and proof-of-concept evaluations.
  • •Develop industry expertise by integrating NVIDIA technology into enterprise computing architectures.

Key Requirements

  • •5+ years of Solutions Architect/Engineering or similar experience in AI-related fields.
  • •Strong written and verbal communication skills, comfortable presenting technical solutions in English.
  • •Expertise deploying large-scale training and inferencing pipelines on Hyperscaler infrastructure, with a focus on GCP.
  • •MS/PhD (or equivalent) in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields.
  • •Proven academic and/or industry track record in machine learning, deep learning, and/or data science.
Experience:5+ yearsAIMachine learningDeep learningData science
Education:Master's in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields
Skills:CommunicationSelf-starterContinuous learningTechnical presentationTeam collaboration
Languages:English
Tech Stack:Generative AIMachine LearningMLGPU-accelerated systemsGCPGoogle Cloud PlatformDockerKubernetesSingularityTransformer-based architectures

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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