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It's an exciting time to join the NVIDIA Cloud Native Engineering (NVCNE) group’s backend software team! As a Cloud Platform Software Engineer, you will work alongside architects, designers, frontend engineers, SREs and others to deliver a software platform that supports the lifecycle of Artificial Intelligence (AI) super compute infrastructure on Kubernetes. Together we will enable AI services across the cloud.

The engineer will write software that aligns with the broad architectural vision for the NVIDIA Cloud Platform, working with architects to develop a robust, scalable system. The engineer owns their code - from development to commit to test to production. They will be responsible for supporting SRE teams with development support and collaboration with internal product teams on sophisticated distributed systems problems at scale. This engineer will be encouraged to foster NVIDIA’s approach to Cloud Native development and especially Kubernetes.

What you will be doing:

+ Develop software systems to support large scale deployments of cloud services

+ 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 validate of software solutions with unit and integration tests

+ Participate in the ownership and health of CI/CD pipelines from dev to production environments

+ Collaborate with other specialists for feedback 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

+ 12+ years of proven experience in large scale software development

+ Experience building and shipping services on Kubernetes

+ Background with using and chipping in to open-source projects

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

+ Programming experience in a relevant language, e.g. Golang, Python

+ Communicate design and quality strategy in written, visual, and oral formats

+ Experience with a wide range of modern infrastructure tools and technologies

Ways to stand out from the crowd:

+ Experience with Kubernetes Cluster API, Terraform, Tinkerbell, and other infrastructure tooling

+ Practical experience with Azure, GCP, or AWS

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

+ Ability to discuss and work with CSI, CNI, and CRI

+ Familiarity with the CNCF and the tooling across the ecosystem

+ Upstream contribution in open source projects

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 what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're a creative, curious, and driven technical leader, we want to hear from you!

The base salary range is 224,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.