Cloud Infra Engineer Intern: Scale Generative AI Cloud
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Das ist der Job
We have some of the most brilliant and hardworking people working for us.
Darum lohnt es sich
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. /ppWhat you will be doing: /pulliEngage with product engineering teams to gain a comprehensive understanding of their infrastructure use cases. ppWe 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.
Communicate design trade-offs effectively and construct scalable systems to meet their unique needs. /li /ululliDevelop advanced tooling to automate the build and deployment of microservices and infrastructure components, enhancing efficiency and productivity. /li /ululliProactively identify bottlenecks in the daily usage of core infrastructure and implement robust solutions to resolve them. /li /ululliReduce manual labor and increase operational efficiency through automation. /li /ululliMonitor the infrastructure to alert on significant events, ensuring the highest level of system performance and reliability. /li /ulpWhat we need to see: /pulliCurrently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related field. /li /ululliExperience with cloud infrastructure platforms such as AWS, Azure, or Google Cloud. /li /ululliHigh level of proficiency in Infrastructure as Code and Configuration Management tools such as Terraform. /li /ululliProficiency in general-purpose programming languages like Python, Go, Java, or C/C++. /li /ululliProficiency in Continuous Integration/Continuous Delivery (CI/CD) tools such as Gitlab, Jenkins, and the GitOps model. /li /ululliProficiency in various monitoring tools such as Prometheus, Grafana, Cloudwatch, and Thanos. /li /ulpWays to stand out from the crowd: /pulliExperience in designing and building infrastructure to support large-scale,fault-tolerant distributed services. /li /ululliExpertise in administering, operating, and configuring Kubernetes and Envoy. /li /ululliExcellent written and oral communication skills. /li /ululliStrong sense of ownership, urgency, and drive. /li /ulpNVIDIA is widely considered one of the technology world’s most desirable employers.
If you're creative and autonomous, we want to hear from you! /p /p #J-18808-Ljbffr
Bereit?
Bewerbung wird direkt an Nvidia uebergeben - kein Konto noetig.