Senior Cloud Kubernetes Engineer for GPU AI Platform
NVIDIA
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Job summary
NVIDIA is seeking a Principal Software Engineer for DGX Cloud to lead the Kubernetes fleet, build cloud-native tooling for GPU/DPU management, and scale the platform for AI workloads.
You will collaborate across teams to automate deployment, testing, and release processes, focusing on performance, security, and reliability in a distributed system.
Base salary range is 272,000 USD to 431,250 USD with equity and benefits; applications accepted until August 11, 2026.
Qualifications
- BS/MS in CS or equivalent experience.
- 15+ years in large-scale environments.
- Expert-level knowledge in Go and C with solid DS/AL.
- Strong Kubernetes and container technology knowledge.
- Linux kernel internals expertise (Unix/Linux).
- Automation experience with modern infra tooling.
- Experience setting up and automating CD systems.
- Cloud computing and distributed software design experience.
- Focus on performance, security, and reliability in distributed systems.
Responsibilities
- Design and develop software to manage a fleet of Kubernetes clusters for GPUs/DPUs.
- Build software for GPU/DPU accelerated apps deployment and monitoring.
- Collaborate across NVIDIA teams to ensure seamless integration.
- Automate build, test, integration, and release processes.
- Handle multiple projects with evolving priorities.
Skills
Education
Tools
Job description
NVIDIA is seeking a Principal Software Engineer for DGX Cloud to lead the Kubernetes fleet, build cloud-native tooling for GPU/DPU management, and scale the platform for AI workloads.
You will collaborate across teams to automate deployment, testing, and release processes, focusing on performance, security, and reliability in a distributed system.
Base salary range is 272,000 USD to 431,250 USD with equity and benefits; applications accepted until August 11, 2026.
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