Systems Software Engineer, Accelerated Kubernetes Performance and Scale - New College Grad 2026

NVIDIA AI

Work on performance and scalability analysis across the Kubernetes-based accelerated runtime stack, including NVIDIA components. Collaborate with AI researchers and developers to design automated workload tests and integrate performance testing into CI/CD workflows. Requirements: Recent graduates with a degree in Engineering or equivalent experience are preferred, ideally in Electrical, Computer Engineering, or Computer Science. Experience in Kubernetes, large-scale systems, and proficiency in Golang or Python is required. Key Skills: Kubernetes, Golang, Python, Computer Architecture, Networking, Storage Systems, Performance Optimization, Distributed Systems, AI Workloads, Open Source, Cloud Computing, Performance Modeling, Benchmarking, Confidential Containers, CI/CD, Monitoring Tools Benefits: Equity Health Insurance #J-18808-Ljbffr NVIDIA AI

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