Description
NVIDIA is hiring a Senior Systems Software Engineer for its DGX Cloud organization to lead end-to-end performance and scalability analysis of Kubernetes-based accelerated computing runtimes. The role focuses on GPU operators, device plugins, distributed inference serving, container startup latency, confidential containers, large-scale simulation, monitoring, and open-source contributions across NVIDIA, Kubernetes, CNCF, and cloud ecosystems. Candidates need a bachelor’s or master’s degree in engineering or equivalent experience, at least five years of relevant experience, expertise in distributed accelerator systems and Kubernetes, proficiency in Golang or Python, and familiarity with major cloud platforms. The role offers hybrid or remote arrangements and a base salary of 152,000 USD to 241,500 USD, with equity and benefits.
