Nvidia Senior Systems Engineer - Software 

United States, Texas 

604806883

What you will be doing:

• 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

What we need to see:

• 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).

• Collaborated with teams to write software to support cloud services at scale

• 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.

Ways to stand out from the crowd:

• Experience with Kubernetes Cluster API, Terraform, CSP API and other infrastructure tooling

• Background with using and contributing to open-source projects

• Solid experience with Kustomize, or other Kubernetes packaging tools.

• Capable of refactoring software to run in systems such as Kubernetes

• Ability to discuss and work with CSI, CNI, and CRI as well as familiarity with the CNCF and the tooling across the ecosystem