Senior Systems Software Engineer

🕒 Maio 14

🏄 California, Colorado, +2 estados a mais – Remoto

🏄 California – Remote ⛰️ Colorado – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184.000 - $287.500 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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NVIDIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1993

🤖 Inteligência Artificial

🎮 Jogos

Artificial Intelligence • Gaming • Automotive

A NVIDIA é uma empresa de tecnologia líder, especializada em computação acelerada e inteligência artificial. A companhia é pioneira em avanços em unidades de processamento gráfico (GPUs), computação em nuvem, data centers e realidade virtual, com foco nos setores de games, automotivo, saúde e robótica. As inovações da empresa, como o NVIDIA Omniverse, transformam processos digitais tradicionais ao viabilizar simulações de alta fidelidade e tarefas de renderização. Suas aplicações abrangem diversos setores, desde veículos autônomos com o NVIDIA DRIVE até soluções de saúde com o NVIDIA Clara, além de análises e fluxos de trabalho impulsionados por IA.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

• equity • benefits