Description
We are now looking for a Deep Learning Performance Software Engineer to join our team. We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary.
Responsibilities: Develop compilers and DSLs for deep learning workloads Design and implement highly optimized deep learning kernels Continuously improve the compiler architecture for current and next generation chips Perform performance analysis on emerging AI workloads and integrate with AI frameworks
Requirements: Master's or Ph.D degree (or equivalent experience) in relevant discipline (CE, CS&E, CS, AI) Excellent C/C++ programming and software design skills Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms 3+ years of relevant work experience