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
• 3+ 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