Software Engineer, Production Engineering

Overview

• NVIDIA is looking for a senior engineer to design and develop data center infrastructure automation tools core to large-scale supercomputer and cloud deployments.
• To enable reliable, scalable and efficient automation to support core infrastructure-as-code workflows and tools, including CI/CD pipelines, compute resource management flow for environments that incorporate GPUs, (DPUs) Data Processing Units, as well as other devices and resources.
• We are looking for an engineer who has a deep understanding in building data center automation tools in a distributed systems environment, outstanding design skills and a track record in building and delivering large-scale software infrastructure What you will be doing: Crafting and developing DC automation frameworks, workflows, and data models for automating processes.
• Being a member of the 24/7 Production engineering team to support Production Services, with a focus on reducing manual tasks.
• Crafting workflows to automate DC operation tasks such as provisioning, patching, image build, telemetry, and resolving production issues for Production Engineering.
• Performing integrations between various DC systems such as DCIM, alert management and telemetry, and the control plane of infrastructure (storage, compute, and networking).
• Building data center automation specifically adapted for AI workloads and applications.
• What we need to see: Minimum 5+ years of demonstrated experience in developing automation platforms for data centers to support highly available, large-scale, cloud service environments.
• BS/BTech Degree in CS or an equivalent combination of education, technical training, and work experience.
• Expertise in building software tools for automating data center operations - OS provisioning, Image deployment, patching, packaging, and change implementation activities.
• Proficiency in at least one of the programming languages: Python or Golang.
• Deep knowledge of DCIM, asset database build/implementation, and DC automation tools such as Ansible or terraform.
• Experience working with CI/CD tools like Jenkins, ArgoCD, or AWX.
• Experience deploying and maintaining embedded devices such as SmartNICs, DPUs, and other devices that run Linux on less-than-traditional servers.
• In depth knowledge in Linux and strong experience on K8s Containers Technologies.
• Strong communication and soft skills, able to present to cross-team members in a persuasive manner.
• Enthusiasm for influencing and establishing collaborations with software and functional groups such as development, server, storage, and security teams in a matrix organization.
• Ways to stand out from the crowd: Experience architecting, building, and deploying automation frameworks for large-scale (1000s of machines) environments, used by thousands of people.
• Passion for innovation and investing in groundbreaking technologies.
• Ability to learn new technologies quickly.
• NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization.
• The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
• Our work opens up new universes to explore, enables amazing creativity and discovery, and powers the next generation inventions from artificial intelligence to autonomous cars.
• NVIDIA is looking for great people like you to help us build and Operate Datacenter infrastructure at scale, which would further accelerate the next wave of artificial intelligence services.