Senior System Software Engineer - DevOps and Infrastructure Automation

NVIDIA

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Computer Hardware Manufacturing 👥 10,001+ employees 📍 Santa Clara, CA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined compute…

Job Overview

NVIDIA is seeking a Senior DevOps Engineer for the AI Inference Operations Team. This is a unique opportunity to be the cornerstone of our DevOps practice, taking full ownership of the critical systems that power our engineering innovation.

Key Responsibilities

• Building and maintaining infrastructure from first principles needed to deliver our growing family of AI Inferencing products including Dynamo and NIXL
• Maintaining CI/CD pipelines to automate the build, test, and deployment process and building improvements on the bottlenecks
• Managing tools and enabling automations for redundant manual workflows via Github Actions, Gitlab, Terraform, etc
• Enabling performing scans and handling of security CVEs for infrastructure components
• Extensive collaboration with cross-functional teams to integrate pipelines from deep learning frameworks and components

Required Qualifications

• Masters degree or equivalent experience
• 3+ years of experience in Computer Science, computer architecture, or related field
• Ability to work in a fast-paced, agile team environment
• Excellent Bash, CI/CD, Python programming and software design skills, including debugging, performance analysis, and test design
• Experience in administering, monitoring, and deploying systems and services on GitHub and cloud platforms
• Supporting other technical teams in monitoring operating efficiencies of the platform, and responding as needs arise
• Highly skilled in Kubernetes and Docker/containerd
• Automation expert with hands on skills in frameworks like Ansible & Terraform
• Experience in AWS, Azure or GCP
• Knowledge of distributed systems programming

Preferred Qualifications

• Experience contributing to a large open-source deep learning community
• Experience in defining and leading the DevOps strategy for a team or organization
• Experience driving efficiencies in software architecture, creating metrics, implementing infrastructure as code and other automation improvements
• Deep understanding of test automation infrastructure, framework and test analysis
• Excellent problem solving abilities spanning multiple software as well as collaborating within an agile team environment

About NVIDIA

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most experienced and hard-working people in the world working for us. We are looking for creative and autonomous individuals who love a challenge to help build the real-time, efficient computing platform driving our success in the dynamic and quickly growing field of Deep Learning and Artificial Intelligence.