Develop and optimize cloud-native software enabling GPU and DPU workloads in Kubernetes. Responsibilities include systems programming, container orchestration, observability, distributed software development, CI/CD automation, and integration across NVIDIA engineering teams. The role requires expertise in Go, Linux kernel internals, Kubernetes, containers, Ansible, Terraform, cloud computing, and distributed systems, with observability and GitOps experience preferred.
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.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA seeks a driven Software Engineer to advance our Kubernetes and AI Observability.
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).
- 5+ years of relevant work experience.
- Expert-level knowledge in systems programming languages (e.g. Go) 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 and 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 observability/telemetry.
- Strong background with Gitlab, Argo, Flux, and other CI/CD systems.
- Significant hands-on experience with Containers and Kubernetes.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Similar Jobs
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