Senior Solutions Architect, Energy Sector

🕒 il y a 3 mois

🤠 Texas – Distant

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💵 $184 000 - $356 500 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

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👻 Score fantôme 26%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of NVIDIA

NVIDIA

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

• Partner with our industry and account teams 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 guide others. • Be an industry leader with vision on integrating NVIDIA technology into AI, HPC, and enterprise GPU and networking architectures for sophisticated applications both in the datacenter and at the edge. • Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.

🎯 Exigences

• MS or PhD 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 Docker/Containers and Kubernetes. • Experience with modern Deep Learning software architecture and frameworks. • Background in the energy industry or engaging with clients/partners involved in the energy field. • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very sophisticated projects.

🏖️ Avantages

• equity • benefits

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