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Job Description & How to Apply Below
Drive innovation at NVIDIA as a Senior Engineer in the CUDA Tile team, focusing on compiler optimizations for AI applications. Shape the future of deep learning technologies with your expertise.
In this role, you'll engage directly with NVIDIA’s cutting-edge GPU capabilities through CUDA Tile, a new programming model released with CUDA 13.1. You will implement compiler transformations, optimize kernel performance, and define public APIs to enhance deep learning applications. Your strong background in C/C++ along with experience in performance analysis will be key to your success.
Key Responsibilities:
• Implement and design compiler transformations for CUDA Tile
• Enhance performance of tile-based kernels on various GPUs
• Develop MLIR dialects and implement lowering passes
• Define public APIs for CUDA functionalities
• Collaborate with a highly skilled, product-focused team
Requirements:
• Bachelor’s, Master’s, or Ph.D. in Computer Science or equivalent
• At least 3 years of relevant compiler optimization experience
• Expert C/C++ programming and software design knowledge
• Proven ability to independently lead development projects
• Strong interpersonal skills for teamwork in a dynamic environment
Join NVIDIA’s talented team and leverage your skills to make a real difference in the AI and deep learning sectors.
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Position Requirements
10+ Years
work experience
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