Senior Solutions Architect, Supercomputing

🕒 il y a 1 mois

🏄 California, Texas – Distant

info

💵 $184 000 - $356 500 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of NVIDIA

NVIDIA

10 000+ employés

Fondée en 1993

🤖 Intelligence artificielle

🎮 Jeux vidéo

Artificial Intelligence • Gaming • Automotive

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

• Partner with our industry and account teams in a customer facing role to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. • Document what you know and teach others. • Be an industry leader with vision on integrating NVIDIA technology into AI Workloads and Workflows, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge. • Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform. • Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful.

🎯 Exigences

• Bachelors degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience. • 8+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs. • Background working with modern application deployment practices including but not limited to Slurm, Docker/Containers, and Kubernetes. • Experience with modern Generative AI and Agentic AI architecture and frameworks. • Experience supporting customers/partners in technical engagements. • Strong organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects. • Strong analytical and problem-solving skills.

🏖️ Avantages

• equity • benefits

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