Senior Software System Architect, AI Factory Management

🕒 il y a 7 jours

🇳🇱 Pays-Bas – Télétravail

⏰ Temps Plein

🟠 Senior

🤖 Ingénieur IA

👻 Score fantôme 11%

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• Ouverte depuis 7 jours.
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NVIDIA

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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

• Define architectures for management and intelligent automation capabilities spanning telemetry, observability, remediation, and operational automation • Engage customers, cluster operations teams, and compute authorities to understand challenges and architect solutions that improve operational efficiency, reliability, and scalability • Partner with Product and Engineering to translate architectural recommendations into prioritized features and drive their inclusion in the Plan of Record (POR), defining requirements, dependencies, and success criteria • Resolve system tradeoffs across hardware, firmware, software, and data platforms, with attention to scale, reliability, performance, and usability • Guide design decisions through implementation, including hands-on development of targeted proofs of concept (PoCs) and technical investigations • Offer strategic direction and system-level leadership throughout teams, guiding engineering choices and promoting AI-centered operating practices

🎯 Exigences

• MSc. or higher in Computer Engineering or Computer Science (or equivalent experience) • 8+ years in system or software architecture, with a record of delivering sophisticated distributed systems in production • Hands-on experience architecting and delivering distributed software systems, including cloud-native services, deployment, and orchestration • Deep understanding of data center infrastructure across compute, networking, and management systems, including how these components interact at scale • Ability to connect the big picture with precise technical reasoning—and recognize which details matter • Experience translating customer needs into system capabilities and influencing decisions across technical and product teams • Strong ownership, initiative, and follow-through, supported by clear technical writing and communication • Experience with AI factory infrastructure, large-scale GPU clusters, HPC, or distributed AI training and inference workloads • Hardware/software co-design experience spanning compute, networking, firmware, and software • Deep understanding of telemetry and observability platforms, including applying AI/ML • Hands-on development of LLM agents, including orchestration, tool integration, context management, and evaluation • Contributions to open-source communities, particularly in AI infrastructure or observability

🏖️ Avantages

• Competitive salaries • Generous benefits package • Opportunity to work with forward-thinking engineers in the industry

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