Solutions Architect, Data Center Infrastructure

🕒 il y a 3 jours

🌵 Arizona, California, +1 états de plus – Distant

🌵 Arizona – Remote 🏄 California – Remote 🤠 Texas – Remote

💵 $124 000 - $195 500 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

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NVIDIA

Site WebLinkedInTous les Emplois

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

• Collaborate with other teams to plan and implement data center infrastructure solutions based on NVIDIA Datacenter reference architecture, including power distribution, cooling systems, network architecture, server hardware, and storage systems. • Plan and manage deployment of NVIDIA's pioneering AI infrastructure solutions including highly complex rack-scale, liquid cooled compute and networking hardware systems, in a fluid and fast paced environment. • Conduct pre-deployment planning including reviewing cluster and data center architecture, plan network port mapping and fiber optic cabling BOM, identify potential risks, train vendors and find areas for improvement. • Evaluate customers' and partners' infrastructure design proposals for consistency with industry standards and regulatory requirements. • Provide feedback and recommendations to improve performance, scalability, and cost-effectiveness. • Perform testing, troubleshooting and validation of compute systems based on collaboration with product and engineering teams. • Act as the NVIS mentor providing guidance, mentorship, and support to ensure the NVIS team's success in their respective roles. • Establish and enforce quality assurance processes to verify that deployments meet established specifications and performance benchmarks. • Conduct thorough bring-up, testing, and validation to validate the functionality and reliability of infrastructure components. • Drive continuous improvement initiatives to enhance data center infrastructure efficiency for NVIDIA data center reference architecture and deployment blueprint, resilience, and sustainability. • Find opportunities to streamline processes, automate repetitive tasks, and leverage emerging technologies to optimize infrastructure operations.

🎯 Exigences

• Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information Technology, or a related field. • Minimum 3+ years of overall experience in enterprise and/or hyperscale data centers with continual infrastructure deployment experience, preferably for high density AI/HPC data centers. • Working experience in data center operations, or infrastructure management roles, focusing on large-scale data center deployments. • Strong technical knowledge and experience in the data center stack - power distribution, liquid cooling, servers, networking, storage and pre-deployment planning. • Relevant certification – preferred. • Demonstrated technical and project leadership under fluid situations, ability to adapt to unknowns and change. • Excellent analytical, problem-solving, and decision-making skills, keen attention to detail, and a commitment to quality. • Excellent communication and interpersonal abilities, capable of engaging with various collaborators like customers to enable productive discussions. • Organization & Time Management – able to plan, schedule, and organize tasks related to the job to achieve goals within or ahead of established time frames. • Willingness to travel (up to 40%).

🏖️ Avantages

• equity • benefits