Senior Systems Software Engineer, Accelerated Kubernetes Performance and Scale - DGX Cloud

Role responsibilities

Lead performance and scalability analysis for the Kubernetes-based accelerated runtime stack to optimize AI infrastructure. Design architectural changes for the Kubernetes control plane and contribute to open-source projects to enable hyperscale AI workloads.

Requirements

Requires a degree in Engineering or Computer Science with 5+ years of experience in computer architecture, networking, and accelerator-based platforms. Expertise in Kubernetes, Golang/Python, and major public cloud providers is essential.

Key skills

Kubernetes, Distributed Systems, Golang, Python, GPU Operators, Containers, Systems Performance, Cloud Platforms, Performance Modeling, Benchmarking, CNCF Ecosystem, AI Infrastructure, Confidential Containers, CI/CD Workflows, Distributed Inference, Computer Architecture

Keywords

Kubernetes, GPU Operator, Network Operator, Node-feature-discovery, Topograph, Dra-driver-nvidia-gpu, Nvsentinel, CNCF, Golang, Python, AWS, Azure, GCP, OCI, Confidential Containers, CoCo, AI Factory, Distributed Inference, KubeCon, GTC, SIG Scalability, OSS, CI/CD, Performance Modeling, Hyperscale, Accelerated Computing, DGX Cloud, Containers, Distributed Systems, AI Workloads