Senior Solutions Architect – AI Compute

🕒 il y a 1 mois

🗣️🇺🇸🇬🇧 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

• Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. • Be the domain expert with partners during planning calls through implementation. • Handover-related documentation and perform knowledge transfers required to support customers and partners as they begin rolling out some of the most sophisticated systems in the world! • Provide feedback to internal and partners teams such as opening bugs, documenting workarounds, and suggesting improvements.

🎯 Exigences

• 8+ years providing in-depth support and deployment services; solving problems for hardware and software products. • Knowledge and experience with Linux system administration, process and package management, task scheduling, kernel management, boot procedures/fixing, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring). • Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)). • Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience. • Scripting proficiency (Bash, Python, Ansible, etc.). • Experience with schedulers such as SLURM, LSF, UGE, etc. • Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise. • An ability to travel to customer sites within the United States up to 30% of the time. • Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.

🏖️ Avantages

• equity • benefits

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