Solutions Architect, CSP GTM
NVIDIA· Architect, Solutions
Hybrid (Remote - France), Reading, UKFull-timePosted 1mo ago
About the role
Solutions Architect focused on Generative AI, Data Science applications and ML, partnering with hyperscalers (primarily Google Cloud) to enable customer and partner productivity and evangelize NVIDIA accelerated computing and GenAI.
Responsibilities
- Develop and demonstrate solutions based on Hyperscalers and NVIDIA’s GenAI software/hardware to developers
- Work directly with customers and Hyperscalers to understand challenges and provide NVIDIA-based solutions
- 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 to understand developer challenges and plan suitable solutions; enable growth of product features through feedback and PoC evaluations
- Build industry expertise and contribute to integrating NVIDIA technology into Enterprise Computing architectures
Qualifications
- 5+ years of Solutions Architect/Engineering or similar experience in AI-related fields
- Excellent listening and communication skills; comfortable presenting technical solutions in English
- Expertise deploying large-scale training and inference pipelines on Hyperscaler infrastructure, focused on GCP
- MS/PhD or equivalent in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields
- Proven track record in ML/DL/data science research or industry experience
- Ability to work across multiple levels and teams (Engineering, Product, Sales, Marketing)
- Self-starter with growth mindset and willingness to share findings across the team
Skills
Required:Generative AIData Science / MLGPU-accelerated computingHyperscaler deployment (GCP focus)Communication / PresentationCollaboration across orgs
Nice to have:DevOps tools
Last updated Aug 28, 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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