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About the Role
NVIDIA seeks a skilled Systems Engineer for its AI Platform, focusing on training and inference of large-scale models. Bring your expertise in systems development and coding to optimize our innovative technologies.
Join NVIDIA's mission to redefine AI infrastructure. In this role, you will develop solutions for large-scale training and inference workloads using GPU clusters. Collaborate with teams working on performance predictors, ML compilers, and scheduling solutions to create a cohesive AI Platform.
Key Responsibilities: • Develop infrastructure for training and serving AI models • Design scheduling solutions for AI workloads on GPU clusters • Explore resource management and GPU scheduling solutions • Collaborate with adjacent teams on AI technologies
Requirements: • Bachelor’s in Computer Science or similar field • 5+ years of systems engineering experience • Proven skills in building large-scale systems • Proficiency in Python, Go, Rust, or C/C++ • Abil...
Join NVIDIA's mission to redefine AI infrastructure. In this role, you will develop solutions for large-scale training and inference workloads using GPU clusters. Collaborate with teams working on performance predictors, ML compilers, and scheduling solutions to create a cohesive AI Platform.
Key Responsibilities: • Develop infrastructure for training and serving AI models • Design scheduling solutions for AI workloads on GPU clusters • Explore resource management and GPU scheduling solutions • Collaborate with adjacent teams on AI technologies
Requirements: • Bachelor’s in Computer Science or similar field • 5+ years of systems engineering experience • Proven skills in building large-scale systems • Proficiency in Python, Go, Rust, or C/C++ • Abil...
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