Description
NVIDIA is hiring a Senior Systems Software Engineer for its DGX Cloud organization to lead performance and scalability analysis of Kubernetes-based accelerated computing runtimes, including GPU operators, device plugins, distributed inference serving, and large-scale cloud platforms. The role involves upstream Kubernetes architecture, cold-start optimization, confidential containers, large-scale simulation, automated workload testing, monitoring, and open-source contributions. Candidates need a bachelor’s or master’s degree in engineering or equivalent experience, at least 8 years of experience in computer architecture, networking, storage systems, and accelerator-based platforms, plus expertise in Kubernetes, distributed systems, Golang or Python, and major cloud platforms. The posting offers a hybrid work arrangement and a base salary of 184,000–287,500 USD for Level 4 or 224,000–356,500 USD for Level 5, with equity and benefits.
