Nvidia Compiler Deep Learning Engineer - Debuggers 

United States, Texas 

283105230

What you'll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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.