Senior Software Engineer – DGX Cloud

🕒 il y a 19 jours

🏄 California, Washington – Distant

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💵 $184 000 - $356 500 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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👻 Score fantôme 1%

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🗣️🇺🇸🇬🇧 Anglais requis

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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

• Explore innovative ways to simplify development, deployment, and monitoring of GPU- and DPU-accelerated applications • Design and develop software for managing a fleet of Kubernetes clusters for GPUs and DPUs • Work on Cloud Native technologies and improve NVIDIA accelerators in Kubernetes environments • Collaborate with engineering teams across NVIDIA to ensure seamless software integration • Automate and optimize build, test, integration, and release processes for cloud-native applications • Multitask across projects and address evolving priorities

🎯 Exigences

• BS/MS in Computer Science or related field (or equivalent experience) • 10+ years of proven work experience in large scale environments • Expert-level knowledge of systems programming languages, including Go and C • Solid grasp of Data Structures and Algorithms • Strong understanding of Kubernetes and container technology • In-depth knowledge and experience with Unix/Unix-like kernel internals, particularly Linux • Hands-on automation experience with modern infrastructure tools and technologies • Proven experience setting up, maintaining, and automating continuous deployment systems • Strong background in cloud computing and distributed software design and development • Understanding of performance, security, and reliability in complex distributed systems • Extensive experience with Go programming language • Deep understanding of rack-scale GPU systems • Strong background with GitLab, Argo, Flux, and other CI/CD systems • Significant hands-on experience with containers and Kubernetes • Hands-on experience with container workload isolation and confidential computing

🏖️ Avantages

• Comprehensive benefits package • Equity • Competitive salary • Benefits for employees and their families

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