Deep Learning Compiler Engineer

Position: NVIDIA Deep Learning Compiler Engineer
Transform deep learning performance as a Deep Learning Compiler Engineer with NVIDIA. Collaborate with top talent to create pioneering innovations in AI technology and compilers.

As part of NVIDIA's DLC team, you will focus on developing high-performance compiler optimization algorithms for deep learning networks. Your strong programming expertise in CUDA will be vital as you analyze performance issues and enhance inference capabilities. This role allows you to contribute significantly to the AI landscape through advanced compiler techniques.

Key Responsibilities:

• Design algorithms for optimizing deep learning networks

• Analyze performance bottlenecks with GPU debugging

• Implement and develop public APIs for our compiler

• Work on AI workload compiler techniques for NVIDIA GPUs

• Collaborate with product-oriented teams on impactful projects

Requirements:

• Bachelor's, master's or Ph.D. in Computer Science or similar

• Over 3 years of experience in compiler optimization

• Excellent software skills in C/C++ and Python

• Familiarity with compiler tools like MLIR or LLVM

• Proven ability to work independently and lead projects

Shape the future of NVIDIA's AI technology through your impactful work in compiler engineering.
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