Opportunity Description
Drive innovation at NVIDIA as a Deep Learning Compiler Engineer. This role focuses on optimizing LPX inference and addressing compiler challenges in large-scale systems and deep learning applications.
As part of our team, you will be responsible for developing and maintaining critical compiler components that optimize runtime performance. Your background in systems-level programming and compiler development will be essential for successfully mapping deep learning workloads onto NVIDIA's advanced architectures.
Key Responsibilities:
• Build high-performance compiler components for inference optimization
• Implement mappings for large-scale neural network workloads
• Collaborate with hardware teams to enhance design features
• Evaluate and profile key performance metrics
• Prototype innovative compilation and runtime techniques
Requirements:
• MS or PhD in Computer Science, Electrical Engineering, or equivalent
• Software engineering experience in C/C++ or R...
As part of our team, you will be responsible for developing and maintaining critical compiler components that optimize runtime performance. Your background in systems-level programming and compiler development will be essential for successfully mapping deep learning workloads onto NVIDIA's advanced architectures.
Key Responsibilities:
• Build high-performance compiler components for inference optimization
• Implement mappings for large-scale neural network workloads
• Collaborate with hardware teams to enhance design features
• Evaluate and profile key performance metrics
• Prototype innovative compilation and runtime techniques
Requirements:
• MS or PhD in Computer Science, Electrical Engineering, or equivalent
• Software engineering experience in C/C++ or R...
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