NVIDIA Gruppe
Deep Learning Compiler Engineer with NVIDIA
Job 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 Rust...
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 Rust...