Senior Systems Software Engineer – EDA Infrastructure

🕒 il y a 1 mois

🏄 California, North Carolina, +3 états de plus – Distant

infoinfo

💵 $184 000 - $356 500 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de NVIDIA, pas via un site d'emploi

Repérée par Remote Rocketship il y a 1 mois

Toujours ouverte sur le site de NVIDIA. Vérifiée il y a 4 heures.

Logo of NVIDIA

NVIDIA

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

• Design, build, deploy, and run infrastructure services and manage the software lifecycle to meet business goals • Build and maintain automation to eliminate manual toil and scale output without scaling effort • Participate in defining internal-facing service level objectives and error budgets as part of the observability strategy • Practice sustainable blameless incident prevention and incident response • Participate in an on-call rotation • Consult with peer teams on systems design best practices

🎯 Exigences

• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience • Experience coding in Python and/or Go • Ability to produce code without AI assistance during the interview process • Experience with infrastructure automation and distributed systems design • Experience developing tools for running large scale private or public cloud systems in production • In-depth knowledge of Linux systems and Containers • 8+ years of relevant experience • Experience with networking and storage technologies • Experience with Continuous Integration and/or workflow engines • Experience with duplicating or emulating complex production infrastructure into staging/test environments • Experience working with or developing bare metal as a service (BMaaS) associated systems • Experience with multi-cloud infrastructure services and private or public cloud systems based on Kubernetes, OpenStack, Docker or Slurm • Experience working with Nvidia GPU-based systems

🏖️ Avantages

• Equity • Benefits

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