Senior Systems Engineer – Software

Job not on LinkedIn

October 31

Apply Now
Logo of NVIDIA

NVIDIA

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.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 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) and at least 12 years of overall experience • 5-7 years of proven experience in large scale software development • Experience building and delivering services on Kubernetes • Proficiency with cloud-native infrastructure (AWS, GCP, Azure, OCI) • Ability to troubleshoot issues across multiple layers: infrastructure, Kubernetes, application runtime • Strong proficiency in Golang for building Kubernetes operators, controllers, and custom tooling • Experience designing and managing Kubernetes Custom Resource Definitions (CRDs) • Knowledge of managed Kubernetes services and scaling strategies across cloud and on-prem environments • Experience developing auto-scaling infrastructure components and incident response and root cause analysis

🏖️ Benefits

• Eligible for equity and benefits

Apply Now

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