Manager, Solutions Architecture – Emerging AI Labs

🕒 il y a 1 mois

🏄 California, Colorado, +1 états de plus – Distant

🏄 California – Remote ⛰️ Colorado – Remote 🤠 Texas – Remote

💵 $224 000 - $356 500 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 3%

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

• Recruit and manage a team of solutions architects, system/network engineers, and software engineers focused on large-scale GPU and AI networking deployments. • Set priorities, allocate resources, mentor team members, and ensure high-quality customer delivery across concurrent projects. • Participate directly in technical reviews, design decisions, and critical debugging efforts. • Provide subject-matter expertise in GPU and network systems and serve as senior technical contact for strategic customers and emerging AI labs. • Lead compute and network configuration and performance debugging to deliver reliable clusters. • Guide compute, network, and software architecture discussions and support server, network, and cluster bring-up, including on-site data center work where needed. • Collect and synthesize customer-specific requirements. • Partner with GPU and Network Systems Engineering, Product Management, and Sales to influence roadmaps and reference designs. • Expand NVIDIA solution engagements across strategic AI-lab customers.

🎯 Exigences

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another Engineering field, or equivalent experience • 8+ years of experience in Systems, Solutions, Field Engineering, Network Engineering, Data Center Engineering, or similar roles • 2+ years leading or mentoring engineers or architects • System-level expertise across CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers • Experience with Ethernet and/or InfiniBand switches, NICs, fabrics, associated tooling, and cluster performance troubleshooting • Familiarity with data center infrastructure, including power, cooling, and deployment constraints • Ability to lead technical teams, set priorities, and drive complex projects from design through production • Experience working with Product Management, Sales, and Engineering • Strong time management and ability to balance planning with hands-on support • Excellent written and verbal communication, including customer meetings, status and risk communication, design documents, debug summaries, and presentations • Direct people management and recruiting experience for geographically distributed technical teams • Track record leading bring-up and deployment of large clusters or supercomputing environments • Experience with fast-moving AI labs or frontier-model infrastructure deployments and customer-facing architecture or field engineering roles • Systems engineering, coding, and debugging skills, including C/C++, Linux kernel, and drivers • Hands-on experience with NVIDIA GPU systems and SDKs such as CUDA, NVIDIA networking technologies, RoCE, InfiniBand, and/or ARM-based CPU solutions • Familiarity with virtualization and cloud-native networking concepts • Willingness to travel up to 20% for on-site customer visits and industry events

🏖️ Avantages

• Equity • Benefits • Remote work locations • Occasional travel opportunities for on-site customer visits and industry events