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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
What you will be doing:
Be part of a small, dynamic team exploring innovative ways to simplify the development, deployment, and monitoring of GPU and DPU accelerated applications.
Enable GPUs and DPUs as first-class resources in container orchestrators such as Kubernetes.
Join the core group working on Cloud Native technologies, improving NVIDIA accelerators in the Kubernetes environment.
Collaborate with engineering teams across NVIDIA to ensure seamless integration of your software.
Automate and optimize build, test, integration, and release processes for cloud-native applications.
Efficiently multitask across different projects, addressing evolving priorities effectively.
What we need to see:
BS/MS in Computer Science or related field (or equivalent experience).
8+ years of relevant work experience.
Expert-level knowledge in systems programming languages (Go, C) with a solid grasp of Data Structures and Algorithms.
Strong understanding of Container Orchestration Systems (Kubernetes) and Container Technology.
In-depth knowledge and experience with Unix/Unix-like kernel internals, particularly Linux.
Hands-on automation experience with frameworks like Ansible and Terraform.
Proven experience in setting up, maintaining, and automating continuous integration systems.
Strong background in Cloud Computing and Distributed Software design and development.
Understanding of performance, security, and reliability in complex distributed systems.
Ways to stand out from the crowd:
Extensive experience with the Go programming language.
Strong background with Gitlab, Argo, Flux, and other CI/CD systems.
Significant hands-on experience with Containers and Kubernetes.
Hands-on experience with container workload isolation and confidential computing.
You will also be eligible for equity and .
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