NVIDIA AI
US - Washington - Seattle
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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
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