Compiler Deep Learning Engineer

Job Description: • Develop debugger support in an MLIR-based compiler stack to support debugging novel GPU programming paradigms • Enable debugger support in various programming languages and domain-specific languages (DSLs) targeting NVIDIA GPUs • Work with other internal compiler and developer tools teams to ensure seamless debugging experiences across the NVIDIA software and developer tooling stack • Collaborate closely with research, libraries, and product teams at NVIDIA to identify debugger features that can effectively improve developer productivity and efficiency Requirements: • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, or a related field (or equivalent experience) • 4+ years of relevant work or research experience in compiler development, debugging tools, or related areas • Strong C/C++ programming and software design skills, including debugging, performance analysis, and test design • Ability to work independently, define project goals and scope, and lead your own development effort • Excellent communication and collaboration skills, with a passion for working in dynamic, cross-functional teams • Strong track record in MLIR compiler engineering, with deep knowledge of compiler internals and optimizer/code generation pipelines • Experience building debugger support for programming languages or DSLs, especially those targeting GPUs • Technical understanding of debugging formats such as DWARF • Knowledge of CPU and/or GPU architecture • CUDA or OpenCL programming experience • Experience with the following technologies: MLIR, LLVM, XLA, TVM, deep learning models and algorithms, and deep learning framework design Benefits: • equity • benefits Apply tot his job