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

Job Description

Lead performance and scalability analysis across the Kubernetes-based accelerated runtime stack, focusing on NVIDIA components. Collaborate with researchers and developers to design automated workload tests and integrate performance testing into CI/CD workflows.

Requirements: Candidates should have a Bachelor’s or Master’s degree in Engineering or equivalent experience, with at least 8 years in computer architecture and distributed systems. Expertise in Kubernetes and experience with large-scale AI workloads are essential.

Key Skills: Kubernetes, Distributed Systems, Containers, Systems Performance, Scalability, Golang, Python, AI Workloads, Cloud Platforms, Performance Optimization, Open-Source, GPU Operators, Device Plugins, Networking, Storage Systems, Benchmarking

Benefits: Equity, Health Insurance