NVIDIA AI
US - North Carolina - Durham
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Design and implement engineering solutions to optimize the reliability and performance of GPU clusters for internal AI researchers. This includes reducing operational toil through AIOps and Agentic AI while providing on-call support for the platforms.
Requirements: Requires a BS/MS in Computer Science or Engineering with 2+ years of software engineering experience, including at least one year in ML infrastructure. Proficiency in Python, C++, or Rust and experience with containerization tools like Docker and Kubernetes is essential.
Key Skills: Python, C++, Rust, Docker, Kubernetes, GitLab CI, AIOps, Agentic AI, Linux, Distributed Systems, ML Infrastructure, Full-stack Development, Relational Data Modeling, REST API, Slurm, GPU Computing
Benefits: Equity, Benefits
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