Deep Learning Compiler Architect

We are now looking for a Deep Learning Compiler Engineer! We are expanding our research and development for the deep learning compiler and the programming model for future architectures. We seek excellent Compiler Engineers and Senior Compiler Engineers 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. Join the team that builds software to enable new solutions. Collaborate with the global experts in Hardware Architecture, Compiler and Deep Learning software stack in the industry. Your ability to work in a fast-paced customer oriented team is required and excellent communication skills are necessary.What you’ll be doing:Participate in the evolution of next-generation domain-specific programming language and compileIn collaboration with other software/hardware specialists, explore how to efficiently and flexibly facilitate the users to program for future AI hardware acceleratorsThe job will cover solution investigation, document writing, prototype development and produce code developmentOccasionally travel to conferences and customers for technical consultation and trainingWhat we need to see:4+ years of relevant work experienceMasters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI)Excellent C/C++ programming and software design skills. Python experience a plusGood fundamental knowledges in computer architecture. Performance modelling, profiling, debug, and code optimization or architectural knowledge of GPU or other AI accelerating architecturesGood abilities in abstracting problems and solving problems in an abstracted wayGPU programming experience (CUDA or OpenCL) desiredSW Agile skills helpfulNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!