Senior Systems Software Engineer

🕒 May 14

🏄 California, Colorado, +2 more states – Remote

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

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 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

🎯 Requirements

• 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.

🏖️ Benefits

• equity • benefits