NVIDIA is searching for a DevOps and an Infrastructure Software/Systems Engineer for the bringing up, development and prototyping a new class of server products and appliances for our Metropolis platforms. Data is the lifeblood of the modern city. Today, it’s being captured by over 500 million cameras worldwide, and that number is growing exponentially. This is creating a tsunami of information that’s impossible for humans to analyze. AI is the key to turning this information into insight. It’s redefining how we collect, inspect, and analyze data to impact everything from public safety, traffic, and parking management to law enforcement and city services. NVIDIA Metropolis is leading this AI revolution, providing the tools, technologies, and expertise to meet every challenge with smarter, faster applications. This exciting role will require someone who can architect the build and the deployment process of our compute Servers that can advance the application of artificial intelligence and machine learning to Streaming video and data analytics to market. Practical experience in the use and administration of server virtualization technology will be highly helpful. Your understanding and knowledge of complex applications built on both on-prem and cloud infrastructure, across operating systems and device classes and Cloud Services is a prerequisite. Your ability to automate all aspects of a modern code delivery and deployment pipeline using: Source code management tools, build tools, Test automation tools, Containerization, configuration management tools, monitoring tools and orchestration will be critical to your success.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees