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 support hyperscale AI workloads.

Requirements

Requires a degree in Engineering or Computer Science with 8+ years of experience in computer architecture, distributed systems, and Kubernetes. Proficiency in Golang or Python and experience with major public cloud providers are essential.

Key skills

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

Keywords

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