Solutions Architect, CSP GTM

🕒 August 27

🌐 France, United Kingdom – Remote

🇫🇷 France – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Develop and demonstrate solutions based on hyperscaler and NVIDIA GenAI software and hardware technologies for developers • Work directly with key customers and hyperscaler partners to understand challenges and provide solutions based on NVIDIA products • Analyze and optimize GPU-accelerated systems using NVIDIA software platforms, including training and inference pipelines • Partner with Engineering, Product, and Sales teams to plan suitable solutions • Enable product feature development and growth through customer feedback and proof-of-concept evaluations • Build industry expertise and contribute to integrating NVIDIA technology into enterprise computing architectures • Conduct proof-of-concept demonstrations • Build relationships with technical executives and managers to evangelize accelerated computing and Generative AI • Engage with developers, researchers, data scientists, IT managers, and senior leaders

🎯 Requirements

• 5+ years of Solutions Architect/Engineering or similar experience in AI-related fields • Excellent verbal and written 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 another Engineering field • Proven academic and/or industry track record in machine learning, deep learning, and/or data science • Ability to work across Engineering, Product, Sales, and Marketing teams • Self-starter interested in growth, continuous learning, and sharing findings across the team • Background with hyperscaler platforms such as GCP • Experience running and optimizing large-scale distributed deep learning training • Experience optimizing inference pipelines, including model compression, model compilation, or model serving • Background working with larger transformer-based architectures • Experience using DevOps technologies such as Docker, Kubernetes, and Singularity