Senior Systems Software Engineer

🕒 vor 26 Tagen

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of NVIDIA

NVIDIA

10.000+ Mitarbeiter

Gegründet 1993

🤖 Künstliche Intelligenz

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA ist ein führendes Technologieunternehmen mit Spezialisierung auf beschleunigtes Computing und Künstliche Intelligenz (AI). NVIDIA treibt Fortschritte bei Grafikprozessoren (GPUs), Cloud Computing, Rechenzentren und Virtual Reality voran und fokussiert dabei Branchen wie Gaming, Automotive, Gesundheitswesen und Robotik. Innovationen des Unternehmens wie NVIDIA Omniverse transformieren traditionelle digitale Prozesse, indem sie hochrealistische Simulationen und Rendering-Aufgaben ermöglichen. Die Anwendungen erstrecken sich über zahlreiche Branchen – von autonomen Fahrzeugen mit NVIDIA DRIVE über Gesundheitslösungen mit NVIDIA Clara bis hin zu AI-gestützten Analysen und Workflows.

Beschreibung

• 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

🎯 Anforderungen

• 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.

🏖️ Vorteile

• equity • benefits

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