NVIDIA
US - California - Santa Clara
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Design and build scalable, reliable factory infrastructure and automation that transforms AI models into deployable NVIDIA Inference Microservices, validated across cloud, on-premises, and Kubernetes environments. Develop pipelines, interfaces, data models, observability, and performance metrics while collaborating with model teams and technical leaders to improve delivery and team productivity.
Requirements: Requires 8+ years of experience developing performant microservices, cloud software, tooling, or distributed and compute systems, along with deep expertise in containerized applications and technologies such as Docker, Kubernetes, Helm, and Prometheus. A bachelor's or master's degree in computer science, computer engineering, or a related field, or equivalent experience, is required; strong collaboration, mentorship, and distributed-system performance debugging experience are also expected.
Key Skills: Distributed Systems, Backend Services, Microservices, Cloud Technologies, Docker, Kubernetes, Helm, Prometheus, Build Automation, Test Automation, Performance Engineering, Observability, CI/CD, Event-Driven Applications, Mentorship, Cross-Functional Collaboration
Benefits: Equity, Benefits
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