Senior Systems Engineer, Storage – DGX Cloud

🕒 vor 1 Monat

🏄 California, Colorado, +3 weitere Bundesländer – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote

💵 $208.000 - $414.000 / Jahr

⏰ Vollzeit

🟠 Senior

⚙️ Systemingenieur

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NVIDIA

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10.000+ Mitarbeiter

Gegründet 1993

🏥 Gesundheitswesen

🏭 Fertigung

🤖 Künstliche Intelligenz

Healthcare • Manufacturing • Artificial Intelligence

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

• Design, deploy, and operate solutions on Kubernetes for large-scale storage and data platforms, including the manifests, Helm charts, and operators that run them. • Build tools, services, and automation that improve the lifecycle of storage and data systems – from provisioning and configuration through deployment, scaling, and day-2 operations. • Develop and operate telemetry and observability for production systems – metrics, logging, tracing, dashboards, and alerting – so that system health, availability, and latency are measurable and actionable. • Apply strong analytical troubleshooting skills to diagnose and resolve complex issues across distributed, containerized infrastructure. • Work closely with peers and partner teams to improve the lifecycle of services, from inception and design through deployment, operation, and refinement. • Scale systems sustainably through automation, infrastructure-as-code, and CI/CD, and evolve systems by pushing for changes that improve reliability and velocity. • Support services before they go live through activities such as deployment automation, capacity planning, and launch and readiness reviews. • Practice sustainable incident response and postmortems, and participate in an on-call rotation to support production systems.

🎯 Anforderungen

• BS degree (or equivalent experience) in Computer Science or related technical field involving coding. • 12+ years of practical experience. • Hands-on experience with Kubernetes – deploying, configuring, and operating workloads and solutions on Kubernetes in production. • Experience building tools and services for storage, data, or platform infrastructure, with solid software design fundamentals (algorithms, data structures, complexity analysis) on large-scale Linux-based systems. • Experience building and operating telemetry and observability using tools such as Prometheus, InfluxDB, Grafana, and the Elastic stack. • Strong analytical troubleshooting skills with a systematic, root-cause-driven approach to identifying and resolving complex problems. • Proficiency in one or more of the following: Python, Go, or Java. • Good knowledge of infrastructure configuration management and infrastructure-as-code tools such as Ansible, Chef, Puppet, ArgoCD, Git Pipelines, and Terraform.

🏖️ Vorteile

• Equity • Health insurance • Retirement plans • Paid time off • Professional development opportunities