Cloud Infrastructure Engineering Intern

Key Skills

Aartificial intelligence, AWS, Azure, C Programming, C++, Continuous Integration & Continuous Delivery - CI/CD, Design, Effective communication skills, Git, GitLab, Google Cloud Platform (GCP), Grafana, Infrastructure as code, Java Programming, Jenkins, Kubernetes-K8s, Python Programming

Job Description

We are looking for a Cloud Infrastructure Engineering Intern interested in building the next-generation technologies for NVIDIA Cloud Services that customers will use across the globe to power their Generative AI workloads. As a Cloud Infrastructure Engineering Intern at NVIDIA, you’ll have the opportunity to design, construct, and optimize large-scale infrastructure for various foundational NVIDIA unified cloud services. If you have a deep understanding of cloud infrastructure and distributed systems, and you thrive in a challenging, innovative environment, this could be the perfect role for you.

What you will be doing:

• Engage with product engineering teams to gain a comprehensive understanding of their infrastructure use cases. Communicate design trade-offs effectively and construct scalable systems to meet their unique needs.

• Develop advanced tooling to automate the build and deployment of microservices and infrastructure components, enhancing efficiency and productivity.

• Proactively identify bottlenecks in the daily usage of core infrastructure and implement robust solutions to resolve them.

• Reduce manual labor and increase operational efficiency through automation.

• Monitor the infrastructure to alert on significant events, ensuring the highest level of system performance and reliability.

What we need to see:

• Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related field.

• Experience with cloud infrastructure platforms such as AWS, Azure, or Google Cloud.

• High level of proficiency in Infrastructure as Code and Configuration Management tools such as Terraform.

• Proficiency in general-purpose programming languages like Python, Go, Java, or C/C++.

• Proficiency in Continuous Integration/Continuous Delivery (CI/CD) tools such as Gitlab, Jenkins, and the GitOps model.

• Proficiency in various monitoring tools such as Prometheus, Grafana, Cloudwatch, and Thanos.

Ways to stand out from the crowd:

• Experience in designing and building infrastructure to support large-scale,fault-tolerant distributed services.

• Expertise in administering, operating, and configuring Kubernetes and Envoy.

• Excellent written and oral communication skills.

• Strong sense of ownership, urgency, and drive.

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people working for us. If you're creative and autonomous, we want to hear from you!