Solutions Architect, AI Factory, CPU Focused

🕒 il y a 1 mois

🏄 California – Distant

info

💵 $184 000 - $356 500 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 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

• Helping our partners be successful in their adoption of end-to-end AI solutions using NVIDIA's compute, networking, and software stacks. • Enabling customers adopting our CPU-based solutions as part of the overall NVIDIA AI Factory. • Working on hardware and software elements, and the larger AI workflow and operationalization of large scale compute resources. • Sharing knowledge with colleagues, delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. • Collaborating with executives and engineering to tackle sophisticated problems and bring NVIDIA's premiere technologies to life.

🎯 Exigences

• Experience with defining, deploying, and testing large scale reference architectures for High Performance Computing and AI. • A track record of defining and using MLOps and AI workflow tools and processes. • 6 or more years of hands-on expertise with modern data center architectures and interaction between CPUs, GPUs, and networking. • Strong foundational expertise and a BS, MS, or equivalent experience in Engineering. • Strong analytical and problem-solving skills, along with an ability to articulate what you know to others. • Ability to multitask efficiently in a multifaceted environment. • Experienced with organizing, presenting, and discussing technical materials with groups that can be comprised of a range of technical capability. • Flexibility to adapt in fluid situations, especially with partners or customers. • Comfortable with occasional travel to customer sites.

🏖️ Avantages

• equity • benefits

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