Senior Solutions Architect, Cloud Partners

🕒 il y a 21 jours

🏄 California, New York, +3 états de plus – Distant

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $184 000 - $287 500 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 1%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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NVIDIA

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1993

🏥 Santé

🏭 Fabrication

🤖 Intelligence artificielle

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

Description

• Collaborate with NVIDIA Cloud Partners to create, implement, and deliver NVIDIA hardware and software solutions • Partner with Solutions Architects, Account Managers, Engineering, Product, and business leaders to align strategies, assess technical needs, and secure business opportunities • Serve as the primary technical driver for customers through the design, development, construction, integration, and production of GPU Cloud infrastructure and applications across the customer lifecycle • Conduct regular technical customer meetings covering project and product details, feature discussions, new technology introductions, and debugging • Build and drive adoption of NVIDIA solutions, including proofs of concept, to address critical business needs across infrastructure, libraries, and applications • Prepare and deliver technical content, including presentations, workshops, reference architectures, tutorials, and publications • Own end-to-end technology solution integration with strategic customers • Provide product strategy recommendations based on customer and partner feedback • Deliver GenAI, AI, and ML hardware and software to production

🎯 Exigences

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience • 10+ years of Solution Engineering or similar Sales Engineering, Cloud Engineering, or Solution Architecture experience, including direct partner and customer experience • Experience crafting and deploying large-scale cluster environments • Hands-on experience designing, developing, and delivering distributed cloud architectures • Strong fundamentals in programming, optimization, and software design • Proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow • Practical expertise fine-tuning and deploying models • Experience integrating software application stacks, libraries, and frameworks to drive GPU platform consumption • Ability to own and drive complex multidisciplinary technical engagements throughout the customer lifecycle and across cross-functional teams • Efficient time management and ability to balance multiple tasks • Excellent presentation, communication, and collaboration skills • Self-starter with passion for growth, continuous learning, and sharing insights • Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models • Hands-on expertise with scaled AI cloud environments such as AWS, Azure, and GCP, and on-premises/hybrid infrastructure • Familiarity with NVIDIA hardware and systems technologies such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager • Proficiency with large-scale AI model training/deployment, GPU systems, performance testing, AI benchmarking, fine-tuning, MLOps, cluster orchestration, SLURM, Kubernetes, orchestrators, load balancing, and cloud architecture • Experience working with enterprise developers and strong customer-facing skills

🏖️ Avantages

• Equity • Benefits