Senior Systems Software Engineer

🕒 il y a 23 jours

🗣️🇺🇸🇬🇧 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

• Develop software systems to support large scale deployments of cloud infrastructure • Design, develop and distribute APIs to support Infrastructure as Code (IaC) automation and deployment workflows. • Responsible for contributing to multiple source code projects to fulfill NVIDIA requirements with software services • Work and collaborate with engineering managers, architects, designers, and frontend engineers to deliver high quality software • Automate the validation of software solutions with unit and integration tests • Innovate with other engineers on proposed designs and product direction • Openly share successes and failures in a no blame environment

🎯 Exigences

• BS in Computer Science, Information Systems, Computer Engineering or equivalent experience. • 8+ years of professional experience. • 3–5 years of hands-on experience in large-scale software development using modern languages and frameworks. • Strong proficiency in Golang for developing Kubernetes operators, controllers, and custom tools. • Proven experience building, deploying, and scaling services on Kubernetes, including work with CRDs and auto-scaling infrastructure. • Expertise with cloud-native infrastructure and managed Kubernetes services across AWS, GCP, Azure, and OCI. • Demonstrated ability to collaborate with cross-functional teams to deliver performant, reliable cloud services at scale. • Experienced in participating in incident response, performing root cause analysis, and implementing preventive measures to improve reliability. • Excellent communication and troubleshooting skills across infrastructure, Kubernetes, and application runtime layers, with the ability to articulate design decisions and quality strategies clearly. • Hands-on experience with Kubernetes Cluster API, Terraform, CSP APIs, and related infrastructure automation tooling. • Proficiency with Kustomize or other Kubernetes packaging and deployment tools, with the ability to refactor software for containerized and orchestrated environments. • Familiarity with CNI, CSI, and CRI interfaces and the broader CNCF ecosystem and its evolving tooling. • Demonstrated background in open-source software, including active participation or upstream contributions to community projects. • Strong understanding of modern infrastructure design and deployment patterns across cloud-native and hybrid environments.

🏖️ Avantages

• equity • benefits

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