NVIDIA AI
US - Washington - Seattle
View Company Profile /
<< Go Back
Lead the design and development of software to manage a fleet of Kubernetes clusters for GPU and DPU accelerated applications. Automate and optimize the lifecycle management, deployment safety, and integration processes for AI Factory infrastructure.
Requirements: Requires a BS/MS in Computer Science and over 15 years of experience in large-scale environments. Must possess expert-level skills in Go, C, Kubernetes, and Linux kernel internals.
Key Skills: Kubernetes, Go, C, Linux Kernel, Container Orchestration, Distributed Systems, CI/CD, Cloud Computing, GPU Acceleration, DPU Acceleration, Data Structures, Algorithms, Gitlab, Argo, Flux, Confidential Computing
Benefits: Competitive salaries, Generous benefits package, Equity
© 2026 engineeringjobs.net, Inc. All Rights Reserved.
Terms of Service | Privacy
Powered by JOBBEX